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href="../multi_modal_pydantic/" class="md-nav__link"> <span class="md-ellipsis"> Multi-Modal GPT4V Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../multi_modal_rag_nomic/" class="md-nav__link"> <span class="md-ellipsis"> Multi-Modal RAG using Nomic Embed and Anthropic. </span> </a> </li> <li class="md-nav__item"> <a href="../multi_modal_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Multi-Modal Retrieval using GPT text embedding and CLIP image embedding for Wikipedia Articles </span> </a> </li> <li class="md-nav__item md-nav__item--active"> <input class="md-nav__toggle md-toggle" type="checkbox" id="__toc"> <label class="md-nav__link md-nav__link--active" for="__toc"> <span class="md-ellipsis"> Multimodal RAG for processing videos using OpenAI GPT4V and LanceDB vectorstore </span> <span class="md-nav__icon md-icon"></span> </label> <a href="./" class="md-nav__link md-nav__link--active"> <span class="md-ellipsis"> Multimodal RAG for processing videos using OpenAI GPT4V and LanceDB vectorstore </span> </a> <nav class="md-nav md-nav--secondary" aria-label="Table of contents"> <label class="md-nav__title" for="__toc"> <span class="md-nav__icon md-icon"></span> Table of contents </label> <ul class="md-nav__list" data-md-component="toc" data-md-scrollfix> <li class="md-nav__item"> <a href="#set-configuration-for-input-below" class="md-nav__link"> <span class="md-ellipsis"> Set configuration for input below </span> </a> </li> <li class="md-nav__item"> <a href="#download-and-process-videos-into-appropriate-format-for-generatingstoring-embeddings" class="md-nav__link"> <span class="md-ellipsis"> Download and process videos into appropriate format for generating/storing embeddings </span> </a> </li> <li class="md-nav__item"> <a href="#create-the-multi-modal-index" class="md-nav__link"> <span class="md-ellipsis"> Create the multi-modal index </span> </a> </li> <li class="md-nav__item"> <a href="#use-index-as-retriever-to-fetch-top-k-5-in-this-example-results-from-the-multimodal-vector-index" class="md-nav__link"> <span class="md-ellipsis"> Use index as retriever to fetch top k (5 in this example) results from the multimodal vector index </span> </a> </li> <li class="md-nav__item"> <a href="#set-the-rag-prompt-template" class="md-nav__link"> <span class="md-ellipsis"> Set the RAG prompt template </span> </a> </li> <li class="md-nav__item"> <a href="#retrieve-most-similar-textimage-embeddings-baseed-on-user-query-from-the-db" class="md-nav__link"> <span class="md-ellipsis"> Retrieve most similar text/image embeddings baseed on user query from the DB </span> </a> </li> <li class="md-nav__item"> <a href="#add-query-now-fetch-relevant-details-including-images-and-augment-the-prompt-template" class="md-nav__link"> <span class="md-ellipsis"> Add query now, fetch relevant details including images and augment the prompt template </span> </a> </li> <li class="md-nav__item"> <a href="#generate-final-response-using-gpt4v" class="md-nav__link"> <span class="md-ellipsis"> Generate final response using GPT4V </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="../multi_modal_videorag_videodb/" class="md-nav__link"> <span class="md-ellipsis"> Multimodal RAG with VideoDB </span> </a> </li> <li class="md-nav__item"> <a href="../multimodal_rag_guardrail_gemini_llmguard_llmguard/" class="md-nav__link"> <span class="md-ellipsis"> Multimodal rag guardrail gemini llmguard llmguard </span> </a> </li> <li class="md-nav__item"> <a href="../nebius_multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multimodal models with Nebius </span> </a> </li> <li class="md-nav__item"> <a href="../nvidia_multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi-Modal LLM using NVIDIA endpoints for image reasoning </span> </a> </li> <li class="md-nav__item"> <a href="../openai_multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Using OpenAI GPT-4V model for image reasoning </span> </a> </li> <li class="md-nav__item"> <a href="../openvino_multimodal/" class="md-nav__link"> <span class="md-ellipsis"> Local Multimodal pipeline with OpenVINO </span> </a> </li> <li class="md-nav__item"> <a href="../replicate_multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi-Modal LLM using Replicate LlaVa, Fuyu 8B, MiniGPT4 models for image reasoning </span> </a> </li> <li class="md-nav__item"> <a href="../structured_image_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Semi-structured Image Retrieval </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_21" > <label class="md-nav__link" for="__nav_4_21" id="__nav_4_21_label" tabindex="0"> <span class="md-ellipsis"> Multi-Tenancy </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_21_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_21"> <span class="md-nav__icon md-icon"></span> Multi-Tenancy </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../multi_tenancy/multi_tenancy_rag/" class="md-nav__link"> <span class="md-ellipsis"> Multi-Tenancy RAG with LlamaIndex </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_22" > <label class="md-nav__link" for="__nav_4_22" id="__nav_4_22_label" tabindex="0"> <span class="md-ellipsis"> Node Parsers & Text Splitters </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_22_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_22"> <span class="md-nav__icon md-icon"></span> Node Parsers & Text Splitters </label> <ul class="md-nav__list" data-md-scrollfix> 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md-icon"></span> Node Postprocessors </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../node_postprocessor/CohereRerank/" class="md-nav__link"> <span class="md-ellipsis"> Cohere Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/ColPaliRerank/" class="md-nav__link"> <span class="md-ellipsis"> Reranking using ColPali, Cohere Reranker and Multi-Modal Embeddings </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/ColbertRerank/" class="md-nav__link"> <span class="md-ellipsis"> Colbert Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/FileNodeProcessors/" class="md-nav__link"> <span class="md-ellipsis"> File Based Node Parsers </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/FlagEmbeddingReranker/" class="md-nav__link"> <span class="md-ellipsis"> FlagEmbeddingReranker </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/JinaRerank/" class="md-nav__link"> <span class="md-ellipsis"> Jina Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/LLMReranker-Gatsby/" class="md-nav__link"> <span class="md-ellipsis"> LLM Reranker Demonstration (Great Gatsby) </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/LLMReranker-Lyft-10k/" class="md-nav__link"> <span class="md-ellipsis"> LLM Reranker Demonstration (2021 Lyft 10-k) </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/LongContextReorder/" class="md-nav__link"> <span class="md-ellipsis"> LongContextReorder </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/MetadataReplacementDemo/" class="md-nav__link"> <span class="md-ellipsis"> Metadata Replacement + Node Sentence Window </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/MixedbreadAIRerank/" class="md-nav__link"> <span class="md-ellipsis"> Mixedbread AI Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/NVIDIARerank/" class="md-nav__link"> <span class="md-ellipsis"> NVIDIA NIMs </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/OptimizerDemo/" class="md-nav__link"> <span class="md-ellipsis"> Sentence Embedding Optimizer </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/PII/" class="md-nav__link"> <span class="md-ellipsis"> PII Masking </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/PrevNextPostprocessorDemo/" class="md-nav__link"> <span class="md-ellipsis"> Forward/Backward Augmentation </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/RecencyPostprocessorDemo/" class="md-nav__link"> <span class="md-ellipsis"> Recency Filtering </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/SentenceTransformerRerank/" class="md-nav__link"> <span class="md-ellipsis"> SentenceTransformerRerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/TimeWeightedPostprocessorDemo/" class="md-nav__link"> <span class="md-ellipsis"> Time-Weighted Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/VoyageAIRerank/" class="md-nav__link"> <span class="md-ellipsis"> VoyageAI Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/openvino_rerank/" class="md-nav__link"> <span class="md-ellipsis"> OpenVINO Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/rankGPT/" class="md-nav__link"> <span class="md-ellipsis"> RankGPT Reranker Demonstration (Van Gogh Wiki) </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/rankLLM/" class="md-nav__link"> <span class="md-ellipsis"> RankLLM Reranker Demonstration (Van Gogh Wiki) </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_24" > <label class="md-nav__link" for="__nav_4_24" id="__nav_4_24_label" tabindex="0"> <span class="md-ellipsis"> Object Stores </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_24_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_24"> <span class="md-nav__icon md-icon"></span> Object Stores </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../objects/object_index/" class="md-nav__link"> <span class="md-ellipsis"> The Class </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_25" > <label class="md-nav__link" for="__nav_4_25" id="__nav_4_25_label" tabindex="0"> <span class="md-ellipsis"> Observability </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_25_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_25"> <span class="md-nav__icon md-icon"></span> Observability </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../observability/AimCallback/" class="md-nav__link"> <span class="md-ellipsis"> Aim Callback </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/HoneyHiveLlamaIndexTracer/" class="md-nav__link"> <span class="md-ellipsis"> HoneyHive LlamaIndex Tracer </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/LangfuseCallbackHandler/" class="md-nav__link"> <span class="md-ellipsis"> Langfuse Callback Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/LangfuseMistralPostHog/" class="md-nav__link"> <span class="md-ellipsis"> Analyze and Debug LlamaIndex Applications with PostHog and Langfuse </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/LlamaDebugHandler/" class="md-nav__link"> <span class="md-ellipsis"> Llama Debug Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/MLflow/" class="md-nav__link"> <span class="md-ellipsis"> MLflow Tracing and E2E Integration with LlamaIndex </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/OpenInferenceCallback/" class="md-nav__link"> <span class="md-ellipsis"> OpenInference Callback Handler + Arize Phoenix </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/OpenLLMetry/" class="md-nav__link"> <span class="md-ellipsis"> Observability with OpenLLMetry </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/OpikCallback/" class="md-nav__link"> <span class="md-ellipsis"> Logging traces with Opik </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/PromptLayerHandler/" class="md-nav__link"> <span class="md-ellipsis"> PromptLayer Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/TokenCountingHandler/" class="md-nav__link"> <span class="md-ellipsis"> Token Counting Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/UpTrainCallback/" class="md-nav__link"> <span class="md-ellipsis"> UpTrain Callback Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/WandbCallbackHandler/" class="md-nav__link"> <span class="md-ellipsis"> Wandb Callback Handler </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_26" > <label class="md-nav__link" for="__nav_4_26" id="__nav_4_26_label" tabindex="0"> <span class="md-ellipsis"> Output Parsers </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_26_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_26"> <span class="md-nav__icon md-icon"></span> Output Parsers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../output_parsing/GuardrailsDemo/" class="md-nav__link"> <span class="md-ellipsis"> Guardrails Output Parsing </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/LangchainOutputParserDemo/" class="md-nav__link"> <span class="md-ellipsis"> Langchain Output Parsing </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/df_program/" class="md-nav__link"> <span class="md-ellipsis"> DataFrame Structured Data Extraction </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/evaporate_program/" class="md-nav__link"> <span class="md-ellipsis"> Evaporate Demo </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/function_program/" class="md-nav__link"> <span class="md-ellipsis"> Function Calling Program for Structured Extraction </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/guidance_pydantic_program/" class="md-nav__link"> <span class="md-ellipsis"> Guidance Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/guidance_sub_question/" class="md-nav__link"> <span class="md-ellipsis"> Guidance for Sub-Question Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/llm_program/" class="md-nav__link"> <span class="md-ellipsis"> LLM Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/lmformatenforcer_pydantic_program/" class="md-nav__link"> <span class="md-ellipsis"> LM Format Enforcer Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/lmformatenforcer_regular_expressions/" class="md-nav__link"> <span class="md-ellipsis"> LM Format Enforcer Regular Expression Generation </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/nvidia_output_parsing/" class="md-nav__link"> <span class="md-ellipsis"> LLM Pydantic Program - NVIDIA </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/openai_pydantic_program/" class="md-nav__link"> <span class="md-ellipsis"> OpenAI Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/openai_sub_question/" class="md-nav__link"> <span class="md-ellipsis"> OpenAI function calling for Sub-Question Query Engine </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_27" > <label class="md-nav__link" for="__nav_4_27" id="__nav_4_27_label" tabindex="0"> <span class="md-ellipsis"> Param Optimizer </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_27_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_27"> <span class="md-nav__icon md-icon"></span> Param Optimizer </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../param_optimizer/param_optimizer/" class="md-nav__link"> <span class="md-ellipsis"> [WIP] Hyperparameter Optimization for RAG </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_28" > <label class="md-nav__link" for="__nav_4_28" id="__nav_4_28_label" tabindex="0"> <span class="md-ellipsis"> Prompts </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_28_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_28"> <span class="md-nav__icon md-icon"></span> Prompts </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../prompts/advanced_prompts/" class="md-nav__link"> <span class="md-ellipsis"> Advanced Prompt Techniques (Variable Mappings, Functions) </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/emotion_prompt/" class="md-nav__link"> <span class="md-ellipsis"> EmotionPrompt in RAG </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/prompt_mixin/" class="md-nav__link"> <span class="md-ellipsis"> Accessing/Customizing Prompts within Higher-Level Modules </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/prompt_optimization/" class="md-nav__link"> <span class="md-ellipsis"> "Optimization by Prompting" for RAG </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/prompts_rag/" class="md-nav__link"> <span class="md-ellipsis"> Prompt Engineering for RAG </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_29" > <label class="md-nav__link" for="__nav_4_29" id="__nav_4_29_label" tabindex="0"> <span class="md-ellipsis"> Property Graph </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_29_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_29"> <span class="md-nav__icon md-icon"></span> Property Graph </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../property_graph/graph_store/" class="md-nav__link"> <span class="md-ellipsis"> Using a Property Graph Store </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_advanced/" class="md-nav__link"> <span class="md-ellipsis"> Property Graph Construction with Predefined Schemas </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_basic/" class="md-nav__link"> <span class="md-ellipsis"> Property Graph Index </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_custom_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Defining a Custom Property Graph Retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_memgraph/" class="md-nav__link"> <span class="md-ellipsis"> Memgraph Property Graph Index </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_neo4j/" class="md-nav__link"> <span class="md-ellipsis"> Neo4j Property Graph Index </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_30" > <label class="md-nav__link" for="__nav_4_30" id="__nav_4_30_label" tabindex="0"> <span class="md-ellipsis"> Query Engines </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_30_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_30"> <span class="md-nav__icon md-icon"></span> Query Engines </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../query_engine/CustomRetrievers/" class="md-nav__link"> <span class="md-ellipsis"> Retriever Query Engine with Custom Retrievers - Simple Hybrid Search </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/JSONalyze_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> JSONalyze Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/JointQASummary/" class="md-nav__link"> <span class="md-ellipsis"> Joint QA Summary Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/RetrieverRouterQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> Retriever Router Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/RouterQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> Router Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/SQLAutoVectorQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> SQL Auto Vector Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/SQLJoinQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> SQL Join Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/SQLRouterQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> SQL Router Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/citation_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> CitationQueryEngine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/cogniswitch_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Cogniswitch query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/custom_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Defining a Custom Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/ensemble_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Ensemble Query Engine Guide </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/flare_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> FLARE Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/json_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> JSON Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/knowledge_graph_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge Graph Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/knowledge_graph_rag_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge Graph RAG Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/multi_doc_auto_retrieval/multi_doc_auto_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Structured Hierarchical Retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pandas_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Pandas Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pdf_tables/recursive_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Recursive Retriever + Query Engine Demo </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pgvector_sql_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> [Beta] Text-to-SQL with PGVector </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pydantic_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Query Engine with Pydantic Outputs </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/recursive_retriever_agents/" class="md-nav__link"> <span class="md-ellipsis"> Recursive Retriever + Document Agents </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/sec_tables/tesla_10q_table/" class="md-nav__link"> <span class="md-ellipsis"> Joint Tabular/Semantic QA over Tesla 10K </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/sub_question_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Sub Question Query Engine </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_31" > <label class="md-nav__link" for="__nav_4_31" id="__nav_4_31_label" tabindex="0"> <span class="md-ellipsis"> Query Pipeline </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_31_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_31"> <span class="md-nav__icon md-icon"></span> Query Pipeline </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../pipeline/query_pipeline/" class="md-nav__link"> <span class="md-ellipsis"> An Introduction to LlamaIndex Query Pipelines </span> </a> </li> <li class="md-nav__item"> <a href="../../pipeline/query_pipeline_async/" class="md-nav__link"> <span class="md-ellipsis"> Query Pipeline with Async/Parallel Execution </span> </a> </li> <li class="md-nav__item"> <a href="../../pipeline/query_pipeline_memory/" class="md-nav__link"> <span class="md-ellipsis"> Query Pipeline Chat Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../pipeline/query_pipeline_pandas/" class="md-nav__link"> <span class="md-ellipsis"> Query Pipeline over Pandas DataFrames </span> </a> </li> <li class="md-nav__item"> <a href="../../pipeline/query_pipeline_routing/" class="md-nav__link"> <span class="md-ellipsis"> Query Pipeline with Routing </span> </a> </li> <li class="md-nav__item"> <a href="../../pipeline/query_pipeline_sql/" class="md-nav__link"> <span class="md-ellipsis"> Query Pipeline for Advanced Text-to-SQL </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle 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id="__nav_4_38_label" tabindex="0"> <span class="md-ellipsis"> Vector Stores </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_38_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_38"> <span class="md-nav__icon md-icon"></span> Vector Stores </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../vector_stores/AWSDocDBDemo/" class="md-nav__link"> <span class="md-ellipsis"> AWSDocDBDemo </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/AlibabaCloudOpenSearchIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> Alibaba Cloud OpenSearch Vector Store </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/AmazonNeptuneVectorDemo/" class="md-nav__link"> <span class="md-ellipsis"> Amazon Neptune - Neptune Analytics vector store </span> </a> </li> <li class="md-nav__item"> <a 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</li> <li class="md-nav__item"> <a href="../../vector_stores/ChromaIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> Chroma </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/ClickHouseIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> ClickHouse Vector Store </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/CouchbaseVectorStoreDemo/" class="md-nav__link"> <span class="md-ellipsis"> CouchbaseVectorStoreDemo </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/DashvectorIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> DashVector Vector Store </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/DatabricksVectorSearchDemo/" class="md-nav__link"> <span class="md-ellipsis"> Databricks Vector Search </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/DeepLakeIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> Deep Lake Vector Store 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class="md-ellipsis"> Milvus Vector Store </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/MilvusOperatorFunctionDemo/" class="md-nav__link"> <span class="md-ellipsis"> MilvusOperatorFunctionDemo </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/MongoDBAtlasVectorSearch/" class="md-nav__link"> <span class="md-ellipsis"> MongoDB Atlas Vector Store </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/MongoDBAtlasVectorSearchRAGFireworks/" class="md-nav__link"> <span class="md-ellipsis"> MongoDB Atlas + Fireworks AI RAG Example </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/MongoDBAtlasVectorSearchRAGOpenAI/" class="md-nav__link"> <span class="md-ellipsis"> MongoDB Atlas + OpenAI RAG Example </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/MyScaleIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> MyScale Vector Store </span> </a> </li> <li 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class="md-nav__item"> <a href="../../vector_stores/PineconeIndexDemo-Hybrid/" class="md-nav__link"> <span class="md-ellipsis"> Pinecone Vector Store - Hybrid Search </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/PineconeIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> Pinecone Vector Store </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/QdrantIndexDemo/" class="md-nav__link"> <span class="md-ellipsis"> Qdrant Vector Store </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/Qdrant_metadata_filter/" class="md-nav__link"> <span class="md-ellipsis"> Qdrant Vector Store - Metadata Filter </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/Qdrant_using_qdrant_filters/" class="md-nav__link"> <span class="md-ellipsis"> Qdrant Vector Store - Default Qdrant Filters </span> </a> </li> <li class="md-nav__item"> <a href="../../vector_stores/RedisIndexDemo/" class="md-nav__link"> <span 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class="md-ellipsis"> Chat Engines </span> </a> <label class="md-nav__link " for="__nav_5_7_3" id="__nav_5_7_3_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_5_7_3_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_7_3"> <span class="md-nav__icon md-icon"></span> Chat Engines </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/deploying/chat_engines/usage_pattern/" class="md-nav__link"> <span class="md-ellipsis"> Usage Pattern </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/deploying/chat_engines/modules/" class="md-nav__link"> <span class="md-ellipsis"> Module Guides </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_7_4" > <div class="md-nav__link md-nav__container"> <a 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class="md-nav__icon md-icon"></span> Structured Outputs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/querying/structured_outputs/output_parser/" class="md-nav__link"> <span class="md-ellipsis"> Output Parsing Modules </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/querying/structured_outputs/query_engine/" class="md-nav__link"> <span class="md-ellipsis"> (Deprecated) Query Engines + Pydantic Outputs </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/querying/structured_outputs/pydantic_program/" class="md-nav__link"> <span class="md-ellipsis"> Pydantic Programs </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_8" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/deploying/agents/" class="md-nav__link "> <span class="md-ellipsis"> Agents </span> </a> <label class="md-nav__link " for="__nav_5_8" id="__nav_5_8_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_8_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_8"> <span class="md-nav__icon md-icon"></span> Agents </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/deploying/agents/usage_pattern/" class="md-nav__link"> <span class="md-ellipsis"> Usage Pattern </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/deploying/agents/agent_runner/" class="md-nav__link"> <span class="md-ellipsis"> Lower-Level Agent API </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/deploying/agents/modules/" class="md-nav__link"> <span class="md-ellipsis"> Module Guides </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/deploying/agents/tools/" class="md-nav__link"> <span class="md-ellipsis"> Tools </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_9" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/workflow/" class="md-nav__link "> <span class="md-ellipsis"> Workflows </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_9_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_9"> <span class="md-nav__icon md-icon"></span> Workflows </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_10" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/evaluating/" class="md-nav__link "> <span class="md-ellipsis"> Evaluation </span> </a> <label 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md-toggle " type="checkbox" id="__nav_5_10_5" > <label class="md-nav__link" for="__nav_5_10_5" id="__nav_5_10_5_label" tabindex="0"> <span class="md-ellipsis"> LlamaDatasets </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_5_10_5_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_10_5"> <span class="md-nav__icon md-icon"></span> LlamaDatasets </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/evaluating/contributing_llamadatasets/" class="md-nav__link"> <span class="md-ellipsis"> Contributing A LabelledRagDataset </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/evaluating/evaluating_with_llamadatasets/" class="md-nav__link"> <span class="md-ellipsis"> Evaluating With LabelledRagDataset's </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/evaluating/evaluating_evaluators_with_llamadatasets/" class="md-nav__link"> <span class="md-ellipsis"> Evaluating Evaluators with LabelledEvaluatorDataset's </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_11" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/observability/" class="md-nav__link "> <span class="md-ellipsis"> Observability </span> </a> <label class="md-nav__link " for="__nav_5_11" id="__nav_5_11_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_11_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_11"> <span class="md-nav__icon md-icon"></span> Observability </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/observability/instrumentation/" class="md-nav__link"> <span class="md-ellipsis"> Instrumentation </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="../../../module_guides/supporting_modules/settings/" class="md-nav__link"> <span class="md-ellipsis"> Settings </span> </a> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_13" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/llama_deploy/" class="md-nav__link "> <span class="md-ellipsis"> Llama Deploy </span> </a> <label class="md-nav__link " for="__nav_5_13" id="__nav_5_13_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_13_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_13"> <span class="md-nav__icon md-icon"></span> Llama Deploy </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/10_getting_started/" class="md-nav__link"> <span class="md-ellipsis"> Getting Started </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/20_core_components/" class="md-nav__link"> <span class="md-ellipsis"> Core Components </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/30_manual_orchestration/" class="md-nav__link"> <span class="md-ellipsis"> Manual orchestration </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/40_python_sdk/" class="md-nav__link"> <span class="md-ellipsis"> Python SDK </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/50_llamactl/" class="md-nav__link"> <span class="md-ellipsis"> CLI </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6" > <label class="md-nav__link" for="__nav_6" id="__nav_6_label" tabindex="0"> <span class="md-ellipsis"> Advanced Topics </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_6"> <span class="md-nav__icon md-icon"></span> Advanced Topics </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../optimizing/production_rag/" class="md-nav__link"> <span class="md-ellipsis"> Building Performant RAG Applications for Production </span> </a> </li> <li class="md-nav__item"> <a href="../../../optimizing/basic_strategies/basic_strategies/" class="md-nav__link"> <span class="md-ellipsis"> Basic Strategies </span> </a> </li> <li class="md-nav__item"> <a href="../../../optimizing/agentic_strategies/agentic_strategies/" class="md-nav__link"> <span class="md-ellipsis"> Agentic strategies 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href="../../../api_reference/embeddings/nebius/" class="md-nav__link"> <span class="md-ellipsis"> Nebius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/nomic/" class="md-nav__link"> <span class="md-ellipsis"> Nomic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/nvidia/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/oci_data_science/" class="md-nav__link"> <span class="md-ellipsis"> Oci data science </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/oci_genai/" class="md-nav__link"> <span class="md-ellipsis"> Oci genai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/octoai.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/ollama/" class="md-nav__link"> <span class="md-ellipsis"> Ollama </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/opea/" class="md-nav__link"> <span class="md-ellipsis"> Opea </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/oracleai/" class="md-nav__link"> <span class="md-ellipsis"> Oracleai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/premai/" class="md-nav__link"> <span class="md-ellipsis"> Premai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/sagemaker_endpoint/" class="md-nav__link"> <span class="md-ellipsis"> Sagemaker endpoint </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/siliconflow/" class="md-nav__link"> <span class="md-ellipsis"> Siliconflow </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/text_embeddings_inference/" class="md-nav__link"> <span class="md-ellipsis"> Text embeddings inference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/textembed/" class="md-nav__link"> <span class="md-ellipsis"> Textembed </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/together/" class="md-nav__link"> <span class="md-ellipsis"> Together </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/upstage/" class="md-nav__link"> <span class="md-ellipsis"> Upstage </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/vertex/" class="md-nav__link"> <span class="md-ellipsis"> Vertex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/vertex_endpoint/" class="md-nav__link"> <span class="md-ellipsis"> Vertex endpoint 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href="../../../api_reference/evaluation/" class="md-nav__link "> <span class="md-ellipsis"> Evaluation </span> </a> <label class="md-nav__link " for="__nav_7_6" id="__nav_7_6_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_6"> <span class="md-nav__icon md-icon"></span> Evaluation </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/answer_relevancy/" class="md-nav__link"> <span class="md-ellipsis"> Answer relevancy </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/context_relevancy/" class="md-nav__link"> <span class="md-ellipsis"> Context relevancy </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/correctness/" class="md-nav__link"> <span class="md-ellipsis"> Correctness </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/dataset_generation/" class="md-nav__link"> <span class="md-ellipsis"> Dataset generation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/faithfullness/" class="md-nav__link"> <span class="md-ellipsis"> Faithfullness </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/guideline/" class="md-nav__link"> <span class="md-ellipsis"> Guideline </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/metrics/" class="md-nav__link"> <span class="md-ellipsis"> Metrics </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/pairwise_comparison/" class="md-nav__link"> <span class="md-ellipsis"> Pairwise comparison </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/query_response/" class="md-nav__link"> <span class="md-ellipsis"> Query response </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/response/" class="md-nav__link"> <span class="md-ellipsis"> Response </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/semantic_similarity/" class="md-nav__link"> <span class="md-ellipsis"> Semantic similarity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/tonic_validate/" class="md-nav__link"> <span class="md-ellipsis"> Tonic validate </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_7" > <label class="md-nav__link" for="__nav_7_7" id="__nav_7_7_label" tabindex="0"> <span class="md-ellipsis"> Graph RAG </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_7_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_7"> <span class="md-nav__icon md-icon"></span> Graph RAG </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/graph_rag/cognee/" class="md-nav__link"> <span class="md-ellipsis"> Cognee </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_8" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/indices/" class="md-nav__link "> <span class="md-ellipsis"> Indexes </span> </a> <label class="md-nav__link " for="__nav_7_8" id="__nav_7_8_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_8_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_8"> <span class="md-nav__icon md-icon"></span> Indexes </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/indices/bge_m3/" class="md-nav__link"> <span class="md-ellipsis"> Bge m3 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/colbert/" class="md-nav__link"> <span class="md-ellipsis"> Colbert </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/document_summary/" class="md-nav__link"> <span class="md-ellipsis"> Document summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/knowledge_graph/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/llama_cloud/" class="md-nav__link"> <span class="md-ellipsis"> Llama cloud </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/postgresml/" class="md-nav__link"> <span class="md-ellipsis"> Postgresml </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/property_graph/" class="md-nav__link"> <span class="md-ellipsis"> Property graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/summary/" class="md-nav__link"> <span class="md-ellipsis"> Summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/tree/" class="md-nav__link"> <span class="md-ellipsis"> Tree </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/vectara/" class="md-nav__link"> <span class="md-ellipsis"> Vectara </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/vector/" class="md-nav__link"> <span class="md-ellipsis"> Vector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/vertexai/" class="md-nav__link"> <span class="md-ellipsis"> Vertexai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/zilliz/" class="md-nav__link"> <span class="md-ellipsis"> Zilliz </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_9" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/ingestion/" class="md-nav__link "> <span class="md-ellipsis"> Ingestion </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_9_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_9"> <span class="md-nav__icon md-icon"></span> Ingestion </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_10" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/instrumentation/" class="md-nav__link "> <span class="md-ellipsis"> Instrumentation </span> </a> <label class="md-nav__link " for="__nav_7_10" id="__nav_7_10_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_10_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_10"> <span class="md-nav__icon md-icon"></span> Instrumentation </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/event_handlers/" class="md-nav__link"> <span class="md-ellipsis"> Event handlers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/event_types/" class="md-nav__link"> <span class="md-ellipsis"> Event types </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/span_handlers/" class="md-nav__link"> <span class="md-ellipsis"> Span handlers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/span_types/" class="md-nav__link"> <span class="md-ellipsis"> Span types </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_11" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/llms/" class="md-nav__link "> <span class="md-ellipsis"> LLMs </span> </a> <label class="md-nav__link " for="__nav_7_11" id="__nav_7_11_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_11_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_11"> <span class="md-nav__icon md-icon"></span> LLMs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/llms/OptimumIntelLLM.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ai21/" class="md-nav__link"> <span class="md-ellipsis"> Ai21 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/alephalpha/" class="md-nav__link"> <span class="md-ellipsis"> Alephalpha </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/alibabacloud_aisearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/anthropic/" class="md-nav__link"> <span class="md-ellipsis"> Anthropic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/anyscale/" class="md-nav__link"> <span class="md-ellipsis"> Anyscale </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/azure_inference/" class="md-nav__link"> <span class="md-ellipsis"> Azure inference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/azure_openai/" class="md-nav__link"> <span class="md-ellipsis"> Azure openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/bedrock/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/bedrock_converse/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock converse </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cerebras/" class="md-nav__link"> <span class="md-ellipsis"> Cerebras </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/clarifai/" class="md-nav__link"> <span class="md-ellipsis"> Clarifai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cleanlab/" class="md-nav__link"> <span class="md-ellipsis"> Cleanlab </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cohere/" class="md-nav__link"> <span class="md-ellipsis"> Cohere </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cortex/" class="md-nav__link"> <span class="md-ellipsis"> Cortex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/custom_llm/" class="md-nav__link"> <span class="md-ellipsis"> Custom llm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/databricks/" class="md-nav__link"> <span class="md-ellipsis"> Databricks </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/deepinfra/" class="md-nav__link"> <span class="md-ellipsis"> Deepinfra </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/deepseek/" class="md-nav__link"> <span class="md-ellipsis"> Deepseek </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/everlyai/" class="md-nav__link"> <span class="md-ellipsis"> Everlyai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/fireworks/" class="md-nav__link"> <span class="md-ellipsis"> Fireworks </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/friendli/" class="md-nav__link"> <span class="md-ellipsis"> Friendli </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gaudi/" class="md-nav__link"> <span class="md-ellipsis"> Gaudi </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gemini/" class="md-nav__link"> <span class="md-ellipsis"> Gemini </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gigachat/" class="md-nav__link"> <span class="md-ellipsis"> Gigachat </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gradient.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/groq/" class="md-nav__link"> <span class="md-ellipsis"> Groq </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/huggingface/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/huggingface_api/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface api </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ibm/" class="md-nav__link"> <span class="md-ellipsis"> Ibm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ipex_llm/" class="md-nav__link"> <span class="md-ellipsis"> Ipex llm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/keywordsai/" class="md-nav__link"> <span class="md-ellipsis"> Keywordsai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/konko/" class="md-nav__link"> <span class="md-ellipsis"> Konko </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/langchain/" class="md-nav__link"> <span class="md-ellipsis"> Langchain </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/litellm/" class="md-nav__link"> <span class="md-ellipsis"> Litellm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/llama_api/" class="md-nav__link"> <span class="md-ellipsis"> Llama api </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/llama_cpp/" class="md-nav__link"> <span class="md-ellipsis"> Llama cpp </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/llamafile/" class="md-nav__link"> <span class="md-ellipsis"> Llamafile </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/lmstudio/" class="md-nav__link"> <span class="md-ellipsis"> Lmstudio </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/localai/" class="md-nav__link"> <span class="md-ellipsis"> Localai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/maritalk/" class="md-nav__link"> <span class="md-ellipsis"> Maritalk </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mistral_rs/" class="md-nav__link"> <span class="md-ellipsis"> Mistral rs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mistralai/" class="md-nav__link"> <span class="md-ellipsis"> Mistralai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mlx/" class="md-nav__link"> <span class="md-ellipsis"> Mlx </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/modelscope/" class="md-nav__link"> <span class="md-ellipsis"> Modelscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/monsterapi/" class="md-nav__link"> <span class="md-ellipsis"> Monsterapi </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mymagic/" class="md-nav__link"> <span class="md-ellipsis"> Mymagic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nebius/" class="md-nav__link"> <span class="md-ellipsis"> Nebius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/neutrino/" class="md-nav__link"> <span class="md-ellipsis"> Neutrino </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nvidia/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nvidia_tensorrt/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia tensorrt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nvidia_triton/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia triton </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/oci_data_science/" class="md-nav__link"> <span class="md-ellipsis"> Oci data science </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/oci_genai/" class="md-nav__link"> <span class="md-ellipsis"> Oci genai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/octoai/" class="md-nav__link"> <span class="md-ellipsis"> Octoai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ollama/" class="md-nav__link"> <span class="md-ellipsis"> Ollama </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/opea/" class="md-nav__link"> <span class="md-ellipsis"> Opea </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openai_like/" class="md-nav__link"> <span class="md-ellipsis"> Openai like </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openllm/" class="md-nav__link"> <span class="md-ellipsis"> Openllm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openrouter/" class="md-nav__link"> <span class="md-ellipsis"> Openrouter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openvino/" class="md-nav__link"> <span class="md-ellipsis"> Openvino </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openvino_genai/" class="md-nav__link"> <span class="md-ellipsis"> Openvino genai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/optimum_intel/" class="md-nav__link"> <span class="md-ellipsis"> Optimum intel </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/paieas/" class="md-nav__link"> <span class="md-ellipsis"> Paieas </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/palm/" class="md-nav__link"> <span class="md-ellipsis"> Palm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/perplexity/" class="md-nav__link"> <span class="md-ellipsis"> Perplexity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/pipeshift/" class="md-nav__link"> <span class="md-ellipsis"> Pipeshift </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/portkey/" class="md-nav__link"> <span class="md-ellipsis"> Portkey </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/predibase/" class="md-nav__link"> <span class="md-ellipsis"> Predibase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/premai/" class="md-nav__link"> <span class="md-ellipsis"> Premai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/qianfan/" class="md-nav__link"> <span class="md-ellipsis"> Qianfan </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/reka/" class="md-nav__link"> <span class="md-ellipsis"> Reka </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/replicate/" class="md-nav__link"> <span class="md-ellipsis"> Replicate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/rungpt/" class="md-nav__link"> <span class="md-ellipsis"> Rungpt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/sagemaker_endpoint/" class="md-nav__link"> <span class="md-ellipsis"> Sagemaker endpoint </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/sambanovasystems/" class="md-nav__link"> <span class="md-ellipsis"> Sambanovasystems </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/siliconflow/" class="md-nav__link"> <span class="md-ellipsis"> Siliconflow </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/solar.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/stepfun/" class="md-nav__link"> <span class="md-ellipsis"> Stepfun </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/text_generation_inference/" class="md-nav__link"> <span class="md-ellipsis"> Text generation inference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/together/" class="md-nav__link"> <span class="md-ellipsis"> Together </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/unify.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/upstage/" class="md-nav__link"> <span class="md-ellipsis"> Upstage </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/vertex/" class="md-nav__link"> <span class="md-ellipsis"> Vertex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/vllm/" class="md-nav__link"> <span class="md-ellipsis"> Vllm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/xinference/" class="md-nav__link"> <span class="md-ellipsis"> Xinference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/yi/" class="md-nav__link"> <span class="md-ellipsis"> Yi </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/you/" class="md-nav__link"> <span class="md-ellipsis"> You </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/zhipuai/" class="md-nav__link"> <span class="md-ellipsis"> Zhipuai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_12" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/llama_dataset/" class="md-nav__link "> <span class="md-ellipsis"> Llama Datasets </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_12_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_12"> <span class="md-nav__icon md-icon"></span> Llama Datasets </label> <ul class="md-nav__list" data-md-scrollfix> 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class="md-nav__link"> <span class="md-ellipsis"> Agents lats </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/agents_llm_compiler/" class="md-nav__link"> <span class="md-ellipsis"> Agents llm compiler </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/amazon_product_extraction/" class="md-nav__link"> <span class="md-ellipsis"> Amazon product extraction </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/arize_phoenix_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Arize phoenix query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/auto_merging_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Auto merging retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/chroma_autoretrieval/" class="md-nav__link"> <span class="md-ellipsis"> Chroma autoretrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/code_hierarchy/" class="md-nav__link"> <span class="md-ellipsis"> Code hierarchy </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/cogniswitch_agent/" class="md-nav__link"> <span class="md-ellipsis"> Cogniswitch agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/cohere_citation_chat/" class="md-nav__link"> <span class="md-ellipsis"> Cohere citation chat </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/corrective_rag/" class="md-nav__link"> <span class="md-ellipsis"> Corrective rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/deeplake_deepmemory_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake deepmemory retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/deeplake_multimodal_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake multimodal retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/dense_x_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Dense x retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/diff_private_simple_dataset/" class="md-nav__link"> <span class="md-ellipsis"> Diff private simple dataset </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/evaluator_benchmarker/" class="md-nav__link"> <span class="md-ellipsis"> Evaluator benchmarker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/fusion_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Fusion retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/fuzzy_citation/" class="md-nav__link"> <span class="md-ellipsis"> Fuzzy citation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/gmail_openai_agent/" class="md-nav__link"> <span class="md-ellipsis"> Gmail openai agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/gradio_agent_chat/" class="md-nav__link"> <span class="md-ellipsis"> Gradio agent chat </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/gradio_react_agent_chatbot/" class="md-nav__link"> <span class="md-ellipsis"> Gradio react agent chatbot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/infer_retrieve_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Infer retrieve rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/koda_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Koda retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/llama_dataset_metadata/" class="md-nav__link"> <span class="md-ellipsis"> Llama dataset metadata </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/llama_guard_moderator/" class="md-nav__link"> <span class="md-ellipsis"> Llama guard moderator </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/llava_completion/" class="md-nav__link"> <span class="md-ellipsis"> Llava completion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/longrag/" class="md-nav__link"> <span class="md-ellipsis"> Longrag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/mixture_of_agents/" class="md-nav__link"> <span class="md-ellipsis"> Mixture of agents </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/multi_document_agents/" class="md-nav__link"> <span class="md-ellipsis"> Multi document agents </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/multi_tenancy_rag/" class="md-nav__link"> <span class="md-ellipsis"> Multi tenancy rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/multidoc_autoretrieval/" class="md-nav__link"> <span class="md-ellipsis"> Multidoc autoretrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/nebulagraph_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Nebulagraph query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/neo4j_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Neo4j query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/node_parser_semantic_chunking/" class="md-nav__link"> <span class="md-ellipsis"> Node parser semantic chunking </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/ollama_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Ollama query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/panel_chatbot/" class="md-nav__link"> <span class="md-ellipsis"> Panel chatbot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/query_understanding_agent/" class="md-nav__link"> <span class="md-ellipsis"> Query understanding agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/raft_dataset/" class="md-nav__link"> <span class="md-ellipsis"> Raft dataset </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/rag_cli_local/" class="md-nav__link"> <span class="md-ellipsis"> Rag cli local </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/rag_evaluator/" class="md-nav__link"> <span class="md-ellipsis"> Rag evaluator </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/rag_fusion_query_pipeline/" class="md-nav__link"> <span class="md-ellipsis"> Rag fusion query pipeline </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/ragatouille_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Ragatouille retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/raptor/" class="md-nav__link"> <span class="md-ellipsis"> Raptor </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/recursive_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Recursive retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/resume_screener/" class="md-nav__link"> <span class="md-ellipsis"> Resume screener </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/retry_engine_weaviate/" class="md-nav__link"> <span class="md-ellipsis"> Retry engine weaviate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/secgpt/" class="md-nav__link"> <span class="md-ellipsis"> Secgpt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/self_discover/" class="md-nav__link"> <span class="md-ellipsis"> Self discover </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/self_rag/" class="md-nav__link"> <span class="md-ellipsis"> Self rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/sentence_window_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Sentence window retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/snowflake_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Snowflake query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/stock_market_data_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Stock market data query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/streamlit_chatbot/" class="md-nav__link"> <span class="md-ellipsis"> Streamlit chatbot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/sub_question_weaviate/" class="md-nav__link"> <span class="md-ellipsis"> Sub question weaviate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/tables/" class="md-nav__link"> <span class="md-ellipsis"> Tables </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/timescale_vector_autoretrieval/" class="md-nav__link"> <span class="md-ellipsis"> Timescale vector autoretrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/trulens_eval_packs/" class="md-nav__link"> <span class="md-ellipsis"> Trulens eval packs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/vanna.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/vectara_rag/" class="md-nav__link"> <span class="md-ellipsis"> Vectara rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/voyage_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Voyage query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/zenguard/" class="md-nav__link"> <span class="md-ellipsis"> Zenguard </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/zephyr_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Zephyr query engine </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_15" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/memory/" class="md-nav__link "> <span class="md-ellipsis"> Memory </span> </a> <label class="md-nav__link " for="__nav_7_15" id="__nav_7_15_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_15_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_15"> <span class="md-nav__icon md-icon"></span> Memory </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/memory/chat_memory_buffer/" class="md-nav__link"> <span class="md-ellipsis"> Chat memory buffer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/memory/mem0/" class="md-nav__link"> <span class="md-ellipsis"> Mem0 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/memory/simple_composable_memory/" class="md-nav__link"> <span class="md-ellipsis"> Simple composable memory </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/memory/vector_memory/" class="md-nav__link"> <span class="md-ellipsis"> Vector memory </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_16" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/extractors/" class="md-nav__link "> <span class="md-ellipsis"> Metadata Extractors </span> </a> <label class="md-nav__link " for="__nav_7_16" id="__nav_7_16_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_16_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_16"> <span class="md-nav__icon md-icon"></span> Metadata Extractors </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/extractors/documentcontext/" class="md-nav__link"> <span class="md-ellipsis"> Documentcontext </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/entity/" class="md-nav__link"> <span class="md-ellipsis"> Entity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/llama_extract.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/marvin/" class="md-nav__link"> <span class="md-ellipsis"> Marvin </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/pydantic/" class="md-nav__link"> <span class="md-ellipsis"> Pydantic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/question/" class="md-nav__link"> <span class="md-ellipsis"> Question </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/relik/" class="md-nav__link"> <span class="md-ellipsis"> Relik </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/summary/" class="md-nav__link"> <span class="md-ellipsis"> Summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/title/" class="md-nav__link"> <span class="md-ellipsis"> Title </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_17" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/multi_modal_llms/" class="md-nav__link "> <span class="md-ellipsis"> Multi-Modal LLMs </span> </a> <label class="md-nav__link " for="__nav_7_17" id="__nav_7_17_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_17_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_17"> <span class="md-nav__icon md-icon"></span> Multi-Modal LLMs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/anthropic/" class="md-nav__link"> <span class="md-ellipsis"> Anthropic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/azure_openai/" class="md-nav__link"> <span class="md-ellipsis"> Azure openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/bedrock/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/gemini/" class="md-nav__link"> <span class="md-ellipsis"> Gemini </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/huggingface/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/mistralai/" class="md-nav__link"> <span class="md-ellipsis"> Mistralai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/nebius/" class="md-nav__link"> <span class="md-ellipsis"> Nebius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/nvidia/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/ollama/" class="md-nav__link"> <span class="md-ellipsis"> Ollama </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/openvino/" class="md-nav__link"> <span class="md-ellipsis"> Openvino </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/reka/" class="md-nav__link"> <span class="md-ellipsis"> Reka </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/replicate/" class="md-nav__link"> <span class="md-ellipsis"> Replicate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/zhipuai/" class="md-nav__link"> <span class="md-ellipsis"> Zhipuai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_18" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/node_parsers/" class="md-nav__link "> <span class="md-ellipsis"> Node Parsers & Text Splitters </span> </a> <label class="md-nav__link " for="__nav_7_18" id="__nav_7_18_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_18_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_18"> <span class="md-nav__icon md-icon"></span> Node Parsers & Text Splitters </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/alibabacloud_aisearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/docling/" class="md-nav__link"> <span class="md-ellipsis"> Docling </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/topic/" class="md-nav__link"> <span class="md-ellipsis"> Topic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/code/" class="md-nav__link"> <span class="md-ellipsis"> Code </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/hierarchical/" class="md-nav__link"> <span class="md-ellipsis"> Hierarchical </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/html/" class="md-nav__link"> <span class="md-ellipsis"> Html </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/json/" class="md-nav__link"> <span class="md-ellipsis"> Json </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/langchain/" class="md-nav__link"> <span class="md-ellipsis"> Langchain </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/markdown/" class="md-nav__link"> <span class="md-ellipsis"> Markdown </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/markdown_element/" class="md-nav__link"> <span class="md-ellipsis"> Markdown element </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/semantic_splitter/" class="md-nav__link"> <span class="md-ellipsis"> Semantic splitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/sentence_splitter/" class="md-nav__link"> <span class="md-ellipsis"> Sentence splitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/sentence_window/" class="md-nav__link"> <span class="md-ellipsis"> Sentence window </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/token_text_splitter/" class="md-nav__link"> <span class="md-ellipsis"> Token text splitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/unstructured_element/" class="md-nav__link"> <span class="md-ellipsis"> Unstructured element </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_19" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/postprocessor/" class="md-nav__link "> <span class="md-ellipsis"> Node Postprocessors </span> </a> <label class="md-nav__link " for="__nav_7_19" id="__nav_7_19_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_19_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_19"> <span class="md-nav__icon md-icon"></span> Node Postprocessors </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/NER_PII/" class="md-nav__link"> <span class="md-ellipsis"> NER PII </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/PII/" class="md-nav__link"> <span class="md-ellipsis"> PII </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/alibabacloud_aisearch_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/auto_prev_next/" class="md-nav__link"> <span class="md-ellipsis"> Auto prev next </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/bedrock_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/cohere_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Cohere rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/colbert_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Colbert rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/colpali_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Colpali rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/dashscope_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/embedding_recency/" class="md-nav__link"> <span class="md-ellipsis"> Embedding recency </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/fixed_recency/" class="md-nav__link"> <span class="md-ellipsis"> Fixed recency </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/flag_embedding_reranker/" class="md-nav__link"> <span class="md-ellipsis"> Flag embedding reranker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/jinaai_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Jinaai rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/llm_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Llm rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/long_context_reorder/" class="md-nav__link"> <span class="md-ellipsis"> Long context reorder </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/longllmlingua/" class="md-nav__link"> <span class="md-ellipsis"> Longllmlingua </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/metadata_replacement/" class="md-nav__link"> <span class="md-ellipsis"> Metadata replacement </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/mixedbreadai_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Mixedbreadai rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/nvidia_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/openvino_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Openvino rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/pinecone_native_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Pinecone native rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/presidio/" class="md-nav__link"> <span class="md-ellipsis"> Presidio </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/prev_next/" class="md-nav__link"> <span class="md-ellipsis"> Prev next </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/rankgpt_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Rankgpt rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/rankllm_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Rankllm rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/sbert_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Sbert rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/sentence_optimizer/" class="md-nav__link"> <span class="md-ellipsis"> Sentence optimizer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/siliconflow_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Siliconflow rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/similarity/" class="md-nav__link"> <span class="md-ellipsis"> Similarity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/tei_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Tei rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/time_weighted/" class="md-nav__link"> <span class="md-ellipsis"> Time weighted </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/voyageai_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Voyageai rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/xinference_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Xinference rerank </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_20" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/objects/" class="md-nav__link "> <span class="md-ellipsis"> Object Stores </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_20_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_20"> <span class="md-nav__icon md-icon"></span> Object Stores </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_21" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/output_parsers/" class="md-nav__link "> <span class="md-ellipsis"> Output Parsers </span> </a> <label class="md-nav__link " for="__nav_7_21" id="__nav_7_21_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_21_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_21"> <span class="md-nav__icon md-icon"></span> Output Parsers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/guardrails/" class="md-nav__link"> <span class="md-ellipsis"> Guardrails </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/langchain/" class="md-nav__link"> <span class="md-ellipsis"> Langchain </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/pydantic/" class="md-nav__link"> <span class="md-ellipsis"> Pydantic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/selection/" class="md-nav__link"> <span class="md-ellipsis"> Selection </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_22" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/program/" class="md-nav__link "> <span class="md-ellipsis"> Programs </span> </a> <label class="md-nav__link " for="__nav_7_22" id="__nav_7_22_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_22_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_22"> <span class="md-nav__icon md-icon"></span> Programs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/program/evaporate/" class="md-nav__link"> <span class="md-ellipsis"> Evaporate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/guidance/" class="md-nav__link"> <span class="md-ellipsis"> Guidance </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/llm_text_completion/" class="md-nav__link"> <span class="md-ellipsis"> Llm text completion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/lmformatenforcer/" class="md-nav__link"> <span class="md-ellipsis"> Lmformatenforcer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_23" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/prompts/" class="md-nav__link "> <span class="md-ellipsis"> Prompts </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_23_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_23"> <span class="md-nav__icon md-icon"></span> Prompts </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_24" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/query_engine/" class="md-nav__link "> <span class="md-ellipsis"> Query Engines </span> </a> <label class="md-nav__link " for="__nav_7_24" id="__nav_7_24_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_24_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_24"> <span class="md-nav__icon md-icon"></span> Query Engines </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/FLARE/" class="md-nav__link"> <span class="md-ellipsis"> FLARE </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/JSONalayze/" class="md-nav__link"> <span class="md-ellipsis"> JSONalayze </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/NL_SQL_table/" class="md-nav__link"> <span class="md-ellipsis"> NL SQL table </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/PGVector_SQL/" class="md-nav__link"> <span class="md-ellipsis"> PGVector SQL </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/SQL_join/" class="md-nav__link"> <span class="md-ellipsis"> SQL join </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/SQL_table_retriever/" class="md-nav__link"> <span class="md-ellipsis"> SQL table retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/citation/" class="md-nav__link"> <span class="md-ellipsis"> Citation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/cogniswitch/" class="md-nav__link"> <span class="md-ellipsis"> Cogniswitch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/custom/" class="md-nav__link"> <span class="md-ellipsis"> Custom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/knowledge_graph/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/multi_step/" class="md-nav__link"> <span class="md-ellipsis"> Multi step </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/pandas/" class="md-nav__link"> <span class="md-ellipsis"> Pandas </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/retriever/" class="md-nav__link"> <span class="md-ellipsis"> Retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/retriever_router/" class="md-nav__link"> <span class="md-ellipsis"> Retriever router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/retry/" class="md-nav__link"> <span class="md-ellipsis"> Retry </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/router/" class="md-nav__link"> <span class="md-ellipsis"> Router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/simple_multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Simple multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/sub_question/" class="md-nav__link"> <span class="md-ellipsis"> Sub question </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/tool_retriever_router/" class="md-nav__link"> <span class="md-ellipsis"> Tool retriever router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/transform/" class="md-nav__link"> <span class="md-ellipsis"> Transform </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_25" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/query_pipeline/" class="md-nav__link "> <span class="md-ellipsis"> Query Pipeline </span> </a> <label class="md-nav__link " for="__nav_7_25" id="__nav_7_25_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_25_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_25"> <span class="md-nav__icon md-icon"></span> Query Pipeline </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/agent/" class="md-nav__link"> <span class="md-ellipsis"> Agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/arg_pack/" class="md-nav__link"> <span class="md-ellipsis"> Arg pack </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/custom/" class="md-nav__link"> <span class="md-ellipsis"> Custom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/function/" class="md-nav__link"> <span class="md-ellipsis"> Function </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/input/" class="md-nav__link"> <span class="md-ellipsis"> Input </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/llm/" class="md-nav__link"> <span class="md-ellipsis"> Llm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/object/" class="md-nav__link"> <span class="md-ellipsis"> Object </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/output_parser/" class="md-nav__link"> <span class="md-ellipsis"> Output parser </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/postprocessor/" class="md-nav__link"> <span class="md-ellipsis"> Postprocessor </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/prompt/" class="md-nav__link"> <span class="md-ellipsis"> Prompt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/query_transform/" class="md-nav__link"> <span class="md-ellipsis"> Query transform </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/retriever/" class="md-nav__link"> <span class="md-ellipsis"> Retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/router/" class="md-nav__link"> <span class="md-ellipsis"> Router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/synthesizer/" class="md-nav__link"> <span class="md-ellipsis"> Synthesizer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/tool_runner/" class="md-nav__link"> <span class="md-ellipsis"> Tool runner </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_26" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/question_gen/" class="md-nav__link "> <span class="md-ellipsis"> Question Generators </span> </a> <label class="md-nav__link " for="__nav_7_26" id="__nav_7_26_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_26_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_26"> <span class="md-nav__icon md-icon"></span> Question Generators </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/question_gen/guidance/" class="md-nav__link"> <span class="md-ellipsis"> Guidance </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/question_gen/llm_question_gen/" class="md-nav__link"> <span class="md-ellipsis"> Llm question gen </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/question_gen/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_27" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/readers/" class="md-nav__link "> <span class="md-ellipsis"> Readers </span> </a> <label class="md-nav__link " for="__nav_7_27" id="__nav_7_27_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_27_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_27"> <span class="md-nav__icon md-icon"></span> Readers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/readers/agent_search/" class="md-nav__link"> <span class="md-ellipsis"> Agent search </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_cdk/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte cdk </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_gong/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte gong </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_hubspot/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte hubspot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_salesforce/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte salesforce </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_shopify/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte shopify </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_stripe/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte stripe </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_typeform/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte typeform </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_zendesk_support/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte zendesk support </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airtable/" class="md-nav__link"> <span class="md-ellipsis"> Airtable </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/alibabacloud_aisearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/apify/" class="md-nav__link"> <span class="md-ellipsis"> Apify </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/arango_db/" class="md-nav__link"> <span class="md-ellipsis"> Arango db </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/arxiv/" class="md-nav__link"> <span class="md-ellipsis"> Arxiv </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/asana/" class="md-nav__link"> <span class="md-ellipsis"> Asana </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/assemblyai/" class="md-nav__link"> <span class="md-ellipsis"> Assemblyai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/astra_db/" class="md-nav__link"> <span class="md-ellipsis"> Astra db </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/athena/" class="md-nav__link"> <span class="md-ellipsis"> Athena </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/awadb/" class="md-nav__link"> <span class="md-ellipsis"> Awadb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/azcognitive_search/" class="md-nav__link"> <span class="md-ellipsis"> Azcognitive search </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/azstorage_blob/" class="md-nav__link"> <span class="md-ellipsis"> Azstorage blob </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/bagel/" class="md-nav__link"> <span class="md-ellipsis"> Bagel </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/bilibili/" class="md-nav__link"> <span class="md-ellipsis"> Bilibili </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/bitbucket/" class="md-nav__link"> <span class="md-ellipsis"> Bitbucket </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/boarddocs/" class="md-nav__link"> <span class="md-ellipsis"> Boarddocs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/box/" class="md-nav__link"> <span class="md-ellipsis"> Box </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/chatgpt_plugin/" class="md-nav__link"> <span class="md-ellipsis"> Chatgpt plugin </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/chroma/" class="md-nav__link"> <span class="md-ellipsis"> Chroma </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/clickhouse.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/confluence/" class="md-nav__link"> <span class="md-ellipsis"> Confluence </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/couchdb/" class="md-nav__link"> <span class="md-ellipsis"> Couchdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/dad_jokes/" class="md-nav__link"> <span class="md-ellipsis"> Dad jokes </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/dashvector/" class="md-nav__link"> <span class="md-ellipsis"> Dashvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/database/" class="md-nav__link"> <span class="md-ellipsis"> Database </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/deeplake/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/discord/" class="md-nav__link"> <span class="md-ellipsis"> Discord </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/docling/" class="md-nav__link"> <span class="md-ellipsis"> Docling </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/docstring_walker/" class="md-nav__link"> <span class="md-ellipsis"> Docstring walker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/docugami/" class="md-nav__link"> <span class="md-ellipsis"> Docugami </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/document360/" class="md-nav__link"> <span class="md-ellipsis"> Document360 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/earnings_call_transcript/" class="md-nav__link"> <span class="md-ellipsis"> Earnings call transcript </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/faiss/" class="md-nav__link"> <span class="md-ellipsis"> Faiss </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/feedly_rss/" class="md-nav__link"> <span class="md-ellipsis"> Feedly rss </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/feishu_docs/" class="md-nav__link"> <span class="md-ellipsis"> Feishu docs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/file/" class="md-nav__link"> <span class="md-ellipsis"> File </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/firebase_realtimedb/" class="md-nav__link"> <span class="md-ellipsis"> Firebase realtimedb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gcs/" class="md-nav__link"> <span class="md-ellipsis"> Gcs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/genius/" class="md-nav__link"> <span class="md-ellipsis"> Genius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gitbook/" class="md-nav__link"> <span class="md-ellipsis"> Gitbook </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/github/" class="md-nav__link"> <span class="md-ellipsis"> Github </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gitlab/" class="md-nav__link"> <span class="md-ellipsis"> Gitlab </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gpt_repo/" class="md-nav__link"> <span class="md-ellipsis"> Gpt repo </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/graphdb_cypher/" class="md-nav__link"> <span class="md-ellipsis"> Graphdb cypher </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/graphql/" class="md-nav__link"> <span class="md-ellipsis"> Graphql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/guru/" class="md-nav__link"> <span class="md-ellipsis"> Guru </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hatena_blog/" class="md-nav__link"> <span class="md-ellipsis"> Hatena blog </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hive/" class="md-nav__link"> <span class="md-ellipsis"> Hive </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hubspot/" class="md-nav__link"> <span class="md-ellipsis"> Hubspot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/huggingface_fs/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface fs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hwp/" class="md-nav__link"> <span class="md-ellipsis"> Hwp </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/iceberg/" class="md-nav__link"> <span class="md-ellipsis"> Iceberg </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/imdb_review/" class="md-nav__link"> <span class="md-ellipsis"> Imdb review </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/intercom/" class="md-nav__link"> <span class="md-ellipsis"> Intercom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/jaguar/" class="md-nav__link"> <span class="md-ellipsis"> Jaguar </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/jira/" class="md-nav__link"> <span class="md-ellipsis"> Jira </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/joplin/" class="md-nav__link"> <span class="md-ellipsis"> Joplin </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/json/" class="md-nav__link"> <span class="md-ellipsis"> Json </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/kaltura_esearch/" class="md-nav__link"> <span class="md-ellipsis"> Kaltura esearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/kibela/" class="md-nav__link"> <span class="md-ellipsis"> Kibela </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/lilac/" class="md-nav__link"> <span class="md-ellipsis"> Lilac </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/linear/" class="md-nav__link"> <span class="md-ellipsis"> Linear </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/llama_parse/" class="md-nav__link"> <span class="md-ellipsis"> Llama parse </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/macrometa_gdn/" class="md-nav__link"> <span class="md-ellipsis"> Macrometa gdn </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/make_com/" class="md-nav__link"> <span class="md-ellipsis"> Make com </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mangadex/" class="md-nav__link"> <span class="md-ellipsis"> Mangadex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mangoapps_guides/" class="md-nav__link"> <span class="md-ellipsis"> Mangoapps guides </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/maps/" class="md-nav__link"> <span class="md-ellipsis"> Maps </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mbox/" class="md-nav__link"> <span class="md-ellipsis"> Mbox </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/memos/" class="md-nav__link"> <span class="md-ellipsis"> Memos </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/metal/" class="md-nav__link"> <span class="md-ellipsis"> Metal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/microsoft_onedrive/" class="md-nav__link"> <span class="md-ellipsis"> Microsoft onedrive </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/microsoft_outlook/" class="md-nav__link"> <span class="md-ellipsis"> Microsoft outlook </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/microsoft_sharepoint/" class="md-nav__link"> <span class="md-ellipsis"> Microsoft sharepoint </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/milvus/" class="md-nav__link"> <span class="md-ellipsis"> Milvus </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/minio/" class="md-nav__link"> <span class="md-ellipsis"> Minio </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mondaydotcom/" class="md-nav__link"> <span class="md-ellipsis"> Mondaydotcom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/myscale/" class="md-nav__link"> <span class="md-ellipsis"> Myscale </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/notion/" class="md-nav__link"> <span class="md-ellipsis"> Notion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/nougat_ocr/" class="md-nav__link"> <span class="md-ellipsis"> Nougat ocr </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/obsidian/" class="md-nav__link"> <span class="md-ellipsis"> Obsidian </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/openalex/" class="md-nav__link"> <span class="md-ellipsis"> Openalex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/openapi.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/opendal/" class="md-nav__link"> <span class="md-ellipsis"> Opendal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/opensearch/" class="md-nav__link"> <span class="md-ellipsis"> Opensearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/oracleai/" class="md-nav__link"> <span class="md-ellipsis"> Oracleai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pandas_ai/" class="md-nav__link"> <span class="md-ellipsis"> Pandas ai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/papers/" class="md-nav__link"> <span class="md-ellipsis"> Papers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/patentsview/" class="md-nav__link"> <span class="md-ellipsis"> Patentsview </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pathway/" class="md-nav__link"> <span class="md-ellipsis"> Pathway </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pdb/" class="md-nav__link"> <span class="md-ellipsis"> Pdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pdf_marker/" class="md-nav__link"> <span class="md-ellipsis"> Pdf marker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pdf_table/" class="md-nav__link"> <span class="md-ellipsis"> Pdf table </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pebblo/" class="md-nav__link"> <span class="md-ellipsis"> Pebblo </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pinecone.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/preprocess/" class="md-nav__link"> <span class="md-ellipsis"> Preprocess </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/psychic/" class="md-nav__link"> <span class="md-ellipsis"> Psychic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/qdrant/" class="md-nav__link"> <span class="md-ellipsis"> Qdrant </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/quip/" class="md-nav__link"> <span class="md-ellipsis"> Quip </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/rayyan/" class="md-nav__link"> <span class="md-ellipsis"> Rayyan </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/readme.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/readwise/" class="md-nav__link"> <span class="md-ellipsis"> Readwise </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/reddit/" class="md-nav__link"> <span class="md-ellipsis"> Reddit </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/remote/" class="md-nav__link"> <span class="md-ellipsis"> Remote </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/remote_depth/" class="md-nav__link"> <span class="md-ellipsis"> Remote depth </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/s3/" class="md-nav__link"> <span class="md-ellipsis"> S3 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/sec_filings/" class="md-nav__link"> <span class="md-ellipsis"> Sec filings </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/semanticscholar/" class="md-nav__link"> <span class="md-ellipsis"> Semanticscholar </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/simple_directory_reader/" class="md-nav__link"> <span class="md-ellipsis"> Simple directory reader </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/singlestore/" class="md-nav__link"> <span class="md-ellipsis"> Singlestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/slack/" class="md-nav__link"> <span class="md-ellipsis"> Slack </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/smart_pdf_loader/" class="md-nav__link"> <span class="md-ellipsis"> Smart pdf loader </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/snowflake/" class="md-nav__link"> <span class="md-ellipsis"> Snowflake </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/spotify/" class="md-nav__link"> <span class="md-ellipsis"> Spotify </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/stackoverflow/" class="md-nav__link"> <span class="md-ellipsis"> Stackoverflow </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/steamship/" class="md-nav__link"> <span class="md-ellipsis"> Steamship </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/string_iterable/" class="md-nav__link"> <span class="md-ellipsis"> String iterable </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/stripe_docs/" class="md-nav__link"> <span class="md-ellipsis"> Stripe docs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/structured_data/" class="md-nav__link"> <span class="md-ellipsis"> Structured data </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/telegram/" class="md-nav__link"> <span class="md-ellipsis"> Telegram </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/toggl/" class="md-nav__link"> <span class="md-ellipsis"> Toggl </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/trello/" class="md-nav__link"> <span class="md-ellipsis"> Trello </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/twitter/" class="md-nav__link"> <span class="md-ellipsis"> Twitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/txtai/" class="md-nav__link"> <span class="md-ellipsis"> Txtai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/upstage/" class="md-nav__link"> <span class="md-ellipsis"> Upstage </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/weather/" class="md-nav__link"> <span class="md-ellipsis"> Weather </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/weaviate/" class="md-nav__link"> <span class="md-ellipsis"> Weaviate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/web/" class="md-nav__link"> <span class="md-ellipsis"> Web </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/whatsapp/" class="md-nav__link"> <span class="md-ellipsis"> Whatsapp </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/whisper/" class="md-nav__link"> <span class="md-ellipsis"> Whisper </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/wikipedia/" class="md-nav__link"> <span class="md-ellipsis"> Wikipedia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/wordlift/" class="md-nav__link"> <span class="md-ellipsis"> Wordlift </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/wordpress/" class="md-nav__link"> <span class="md-ellipsis"> Wordpress </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/youtube_transcript/" class="md-nav__link"> <span class="md-ellipsis"> Youtube transcript </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zendesk/" class="md-nav__link"> <span class="md-ellipsis"> Zendesk </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zep/" class="md-nav__link"> <span class="md-ellipsis"> Zep </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zulip/" class="md-nav__link"> <span class="md-ellipsis"> Zulip </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zyte_serp/" class="md-nav__link"> <span class="md-ellipsis"> Zyte serp </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_28" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/response_synthesizers/" class="md-nav__link "> <span class="md-ellipsis"> Response Synthesizers </span> </a> <label class="md-nav__link " for="__nav_7_28" id="__nav_7_28_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_28_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_28"> <span class="md-nav__icon md-icon"></span> Response Synthesizers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/accumulate/" class="md-nav__link"> <span class="md-ellipsis"> Accumulate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/compact_accumulate/" class="md-nav__link"> <span class="md-ellipsis"> Compact accumulate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/compact_and_refine/" class="md-nav__link"> <span class="md-ellipsis"> Compact and refine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/generation/" class="md-nav__link"> <span class="md-ellipsis"> Generation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/refine/" class="md-nav__link"> <span class="md-ellipsis"> Refine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/simple_summarize/" class="md-nav__link"> <span class="md-ellipsis"> Simple summarize </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/tree_summarize/" class="md-nav__link"> <span class="md-ellipsis"> Tree summarize </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_29" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/retrievers/" class="md-nav__link "> <span class="md-ellipsis"> Retrievers </span> </a> <label class="md-nav__link " for="__nav_7_29" id="__nav_7_29_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_29_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_29"> <span class="md-nav__icon md-icon"></span> Retrievers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/auto_merging/" class="md-nav__link"> <span class="md-ellipsis"> Auto merging </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/bedrock/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/bm25/" class="md-nav__link"> <span class="md-ellipsis"> Bm25 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/duckdb_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Duckdb retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/kendra/" class="md-nav__link"> <span class="md-ellipsis"> Kendra </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/knowledge_graph/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/mongodb_atlas_bm25_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb atlas bm25 retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/pathway/" class="md-nav__link"> <span class="md-ellipsis"> Pathway </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/query_fusion/" class="md-nav__link"> <span class="md-ellipsis"> Query fusion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/recursive/" class="md-nav__link"> <span class="md-ellipsis"> Recursive </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/router/" class="md-nav__link"> <span class="md-ellipsis"> Router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/sql/" class="md-nav__link"> <span class="md-ellipsis"> Sql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/summary/" class="md-nav__link"> <span class="md-ellipsis"> Summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/transform/" class="md-nav__link"> <span class="md-ellipsis"> Transform </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/tree/" class="md-nav__link"> <span class="md-ellipsis"> Tree </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/vector/" class="md-nav__link"> <span class="md-ellipsis"> Vector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/vertexai_search/" class="md-nav__link"> <span class="md-ellipsis"> Vertexai search </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/videodb/" class="md-nav__link"> <span class="md-ellipsis"> Videodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/you/" class="md-nav__link"> <span class="md-ellipsis"> You </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_30" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/schema/" class="md-nav__link "> <span class="md-ellipsis"> Schema </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_30_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_30"> <span class="md-nav__icon md-icon"></span> Schema </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_31" > <label class="md-nav__link" for="__nav_7_31" id="__nav_7_31_label" tabindex="0"> <span class="md-ellipsis"> Selectors </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_31_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_31"> <span class="md-nav__icon md-icon"></span> Selectors </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/selectors/notdiamond/" class="md-nav__link"> <span class="md-ellipsis"> Notdiamond </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_32" > <label class="md-nav__link" for="__nav_7_32" id="__nav_7_32_label" tabindex="0"> <span class="md-ellipsis"> Sparse Embeddings </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_32_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32"> <span class="md-nav__icon md-icon"></span> Sparse Embeddings </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/sparse_embeddings/fastembed/" class="md-nav__link"> <span class="md-ellipsis"> Fastembed </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33" > <label class="md-nav__link" for="__nav_7_33" id="__nav_7_33_label" tabindex="0"> <span class="md-ellipsis"> Storage </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_33_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33"> <span class="md-nav__icon md-icon"></span> Storage </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_1" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/chat_store/" class="md-nav__link "> <span class="md-ellipsis"> Chat Store </span> </a> <label class="md-nav__link " for="__nav_7_33_1" id="__nav_7_33_1_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_1_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_1"> <span class="md-nav__icon md-icon"></span> Chat Store </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/azurecosmosmongovcore/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosmongovcore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/upstash/" class="md-nav__link"> <span class="md-ellipsis"> Upstash </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_2" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/docstore/" class="md-nav__link "> <span class="md-ellipsis"> Docstore </span> </a> <label class="md-nav__link " for="__nav_7_33_2" id="__nav_7_33_2_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_2_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_2"> <span class="md-nav__icon md-icon"></span> Docstore </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_3" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/graph_stores/" class="md-nav__link "> <span class="md-ellipsis"> Graph Stores </span> </a> <label class="md-nav__link " for="__nav_7_33_3" id="__nav_7_33_3_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_3_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_3"> <span class="md-nav__icon md-icon"></span> Graph Stores </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/falkordb/" class="md-nav__link"> <span class="md-ellipsis"> Falkordb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/kuzu/" class="md-nav__link"> <span class="md-ellipsis"> Kuzu </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/memgraph/" class="md-nav__link"> <span class="md-ellipsis"> Memgraph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/nebula/" class="md-nav__link"> <span class="md-ellipsis"> Nebula </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/neo4j/" class="md-nav__link"> <span class="md-ellipsis"> Neo4j </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/neptune/" class="md-nav__link"> <span class="md-ellipsis"> Neptune </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/tidb/" class="md-nav__link"> <span class="md-ellipsis"> Tidb </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_4" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/index_store/" class="md-nav__link "> <span class="md-ellipsis"> Index Store </span> </a> <label class="md-nav__link " for="__nav_7_33_4" id="__nav_7_33_4_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_4_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_4"> <span class="md-nav__icon md-icon"></span> Index Store </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_5" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/kvstore/" class="md-nav__link "> <span class="md-ellipsis"> Kvstore </span> </a> <label class="md-nav__link " for="__nav_7_33_5" id="__nav_7_33_5_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_5_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_5"> <span class="md-nav__icon md-icon"></span> Kvstore </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/s3/" class="md-nav__link"> <span class="md-ellipsis"> S3 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_6" > <label class="md-nav__link" for="__nav_7_33_6" id="__nav_7_33_6_label" tabindex="0"> <span class="md-ellipsis"> Storage </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_6"> <span class="md-nav__icon md-icon"></span> Storage </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/storage_context/" class="md-nav__link"> <span class="md-ellipsis"> Storage context </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_7" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/vector_store/" class="md-nav__link "> <span class="md-ellipsis"> Vector Store </span> </a> <label class="md-nav__link " for="__nav_7_33_7" id="__nav_7_33_7_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_7_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_7"> <span class="md-nav__icon md-icon"></span> Vector Store </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/alibabacloud_opensearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud opensearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/analyticdb/" class="md-nav__link"> <span class="md-ellipsis"> Analyticdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/astra_db/" class="md-nav__link"> <span class="md-ellipsis"> Astra db </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/awadb/" class="md-nav__link"> <span class="md-ellipsis"> Awadb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/awsdocdb/" class="md-nav__link"> <span class="md-ellipsis"> Awsdocdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/azureaisearch/" class="md-nav__link"> <span class="md-ellipsis"> Azureaisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/azurecosmosmongo/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosmongo </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/bagel/" class="md-nav__link"> <span class="md-ellipsis"> Bagel </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/baiduvectordb/" class="md-nav__link"> <span class="md-ellipsis"> Baiduvectordb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/cassandra/" class="md-nav__link"> <span class="md-ellipsis"> Cassandra </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/chatgpt_plugin.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/chroma/" class="md-nav__link"> <span class="md-ellipsis"> Chroma </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/clickhouse/" class="md-nav__link"> <span class="md-ellipsis"> Clickhouse </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/dashvector/" class="md-nav__link"> <span class="md-ellipsis"> Dashvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/databricks/" class="md-nav__link"> <span class="md-ellipsis"> Databricks </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/deeplake/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/docarray/" class="md-nav__link"> <span class="md-ellipsis"> Docarray </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/duckdb/" class="md-nav__link"> <span class="md-ellipsis"> Duckdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/epsilla/" class="md-nav__link"> <span class="md-ellipsis"> Epsilla </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/faiss/" class="md-nav__link"> <span class="md-ellipsis"> Faiss </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/hologres/" class="md-nav__link"> <span class="md-ellipsis"> Hologres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/jaguar/" class="md-nav__link"> <span class="md-ellipsis"> Jaguar </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/kdbai/" class="md-nav__link"> <span class="md-ellipsis"> Kdbai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/lancedb/" class="md-nav__link"> <span class="md-ellipsis"> Lancedb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/lantern/" class="md-nav__link"> <span class="md-ellipsis"> Lantern </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/lindorm/" class="md-nav__link"> <span class="md-ellipsis"> Lindorm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/mariadb/" class="md-nav__link"> <span class="md-ellipsis"> Mariadb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/metal.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/milvus/" class="md-nav__link"> <span class="md-ellipsis"> Milvus </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/myscale/" class="md-nav__link"> <span class="md-ellipsis"> Myscale </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/neo4jvector/" class="md-nav__link"> <span class="md-ellipsis"> Neo4jvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/neptune/" class="md-nav__link"> <span class="md-ellipsis"> Neptune </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/nile/" class="md-nav__link"> <span class="md-ellipsis"> Nile </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/objectbox/" class="md-nav__link"> <span class="md-ellipsis"> Objectbox </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/oceanbase/" class="md-nav__link"> <span class="md-ellipsis"> Oceanbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/opensearch/" class="md-nav__link"> <span class="md-ellipsis"> Opensearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/oracledb/" class="md-nav__link"> <span class="md-ellipsis"> Oracledb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/pgvecto_rs/" class="md-nav__link"> <span class="md-ellipsis"> Pgvecto rs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/pinecone/" class="md-nav__link"> <span class="md-ellipsis"> Pinecone </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/qdrant/" class="md-nav__link"> <span class="md-ellipsis"> Qdrant </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/relyt/" class="md-nav__link"> <span class="md-ellipsis"> Relyt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/rocksetdb/" class="md-nav__link"> <span class="md-ellipsis"> Rocksetdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/singlestoredb/" class="md-nav__link"> <span class="md-ellipsis"> Singlestoredb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/sqlalchemy.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/supabase/" class="md-nav__link"> <span class="md-ellipsis"> Supabase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tair/" class="md-nav__link"> <span class="md-ellipsis"> Tair </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tencentvectordb/" class="md-nav__link"> <span class="md-ellipsis"> Tencentvectordb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tidbvector/" class="md-nav__link"> <span class="md-ellipsis"> Tidbvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/timescalevector/" class="md-nav__link"> <span class="md-ellipsis"> Timescalevector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/txtai/" class="md-nav__link"> <span class="md-ellipsis"> Txtai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/typesense/" class="md-nav__link"> <span class="md-ellipsis"> Typesense </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/upstash/" class="md-nav__link"> <span class="md-ellipsis"> Upstash </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/vearch/" class="md-nav__link"> <span class="md-ellipsis"> Vearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/vertexaivectorsearch/" class="md-nav__link"> <span class="md-ellipsis"> Vertexaivectorsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/vespa/" class="md-nav__link"> <span class="md-ellipsis"> Vespa </span> </a> </li> <li 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videos into appropriate format for generating/storing embeddings </span> </a> </li> <li class="md-nav__item"> <a href="#create-the-multi-modal-index" class="md-nav__link"> <span class="md-ellipsis"> Create the multi-modal index </span> </a> </li> <li class="md-nav__item"> <a href="#use-index-as-retriever-to-fetch-top-k-5-in-this-example-results-from-the-multimodal-vector-index" class="md-nav__link"> <span class="md-ellipsis"> Use index as retriever to fetch top k (5 in this example) results from the multimodal vector index </span> </a> </li> <li class="md-nav__item"> <a href="#set-the-rag-prompt-template" class="md-nav__link"> <span class="md-ellipsis"> Set the RAG prompt template </span> </a> </li> <li class="md-nav__item"> <a href="#retrieve-most-similar-textimage-embeddings-baseed-on-user-query-from-the-db" class="md-nav__link"> <span class="md-ellipsis"> Retrieve most similar text/image embeddings baseed on user query from the DB </span> </a> </li> <li class="md-nav__item"> <a href="#add-query-now-fetch-relevant-details-including-images-and-augment-the-prompt-template" class="md-nav__link"> <span class="md-ellipsis"> Add query now, fetch relevant details including images and augment the prompt template </span> </a> </li> <li class="md-nav__item"> <a href="#generate-final-response-using-gpt4v" class="md-nav__link"> <span class="md-ellipsis"> Generate final response using GPT4V </span> </a> </li> </ul> </nav> </div> </div> </div> <div class="md-content" data-md-component="content"> <article class="md-content__inner md-typeset"> <script> (function (global, factory) { typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() : typeof define === 'function' && define.amd ? define(factory) : (global = global || self, global.ClipboardCopyElement = factory()); }(this, function () { 'use strict'; function createNode(text) { const node = document.createElement('pre'); node.style.width = '1px'; node.style.height = '1px'; 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window.customElements.define('clipboard-copy', ClipboardCopyElement); } return ClipboardCopyElement; })); </script> <script> document.addEventListener('clipboard-copy', function(event) { const notice = event.target.querySelector('.notice') notice.hidden = false setTimeout(function() { notice.hidden = true }, 1000) }) </script> <style type="text/css"> pre { line-height: 125%; } td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } .highlight-ipynb .hll { background-color: var(--jp-cell-editor-active-background) } .highlight-ipynb { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) 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var(--md-red-100);--jp-success-color0: var(--md-green-900);--jp-success-color1: var(--md-green-700);--jp-success-color2: var(--md-green-300);--jp-success-color3: var(--md-green-100);--jp-info-color0: var(--md-cyan-900);--jp-info-color1: var(--md-cyan-700);--jp-info-color2: var(--md-cyan-300);--jp-info-color3: var(--md-cyan-100);--jp-cell-padding: 5px;--jp-cell-collapser-width: 8px;--jp-cell-collapser-min-height: 20px;--jp-cell-collapser-not-active-hover-opacity: .6;--jp-cell-editor-background: var(--md-grey-100);--jp-cell-editor-border-color: var(--md-grey-300);--jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);--jp-cell-editor-active-background: var(--jp-layout-color0);--jp-cell-editor-active-border-color: var(--jp-brand-color1);--jp-cell-prompt-width: 64px;--jp-cell-prompt-font-family: var(--jp-code-font-family-default);--jp-cell-prompt-letter-spacing: 0px;--jp-cell-prompt-opacity: 1;--jp-cell-prompt-not-active-opacity: .5;--jp-cell-prompt-not-active-font-color: var(--md-grey-700);--jp-cell-inprompt-font-color: #307fc1;--jp-cell-outprompt-font-color: #bf5b3d;--jp-notebook-padding: 10px;--jp-notebook-select-background: var(--jp-layout-color1);--jp-notebook-multiselected-color: var(--md-blue-50);--jp-notebook-scroll-padding: calc( 100% - var(--jp-code-font-size) * var(--jp-code-line-height) - var(--jp-code-padding) - var(--jp-cell-padding) - 1px );--jp-rendermime-error-background: #fdd;--jp-rendermime-table-row-background: var(--md-grey-100);--jp-rendermime-table-row-hover-background: var(--md-light-blue-50);--jp-dialog-background: rgba(0, 0, 0, .25);--jp-console-padding: 10px;--jp-toolbar-border-color: var(--jp-border-color1);--jp-toolbar-micro-height: 8px;--jp-toolbar-background: var(--jp-layout-color1);--jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, .24);--jp-toolbar-header-margin: 4px 4px 0px 4px;--jp-toolbar-active-background: var(--md-grey-300);--jp-statusbar-height: 24px;--jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);--jp-input-active-background: var(--jp-layout-color1);--jp-input-hover-background: var(--jp-layout-color1);--jp-input-background: var(--md-grey-100);--jp-input-border-color: var(--jp-inverse-border-color);--jp-input-active-border-color: var(--jp-brand-color1);--jp-input-active-box-shadow-color: rgba(19, 124, 189, .3);--jp-editor-selected-background: #d9d9d9;--jp-editor-selected-focused-background: #d7d4f0;--jp-editor-cursor-color: var(--jp-ui-font-color0);--jp-mirror-editor-keyword-color: #008000;--jp-mirror-editor-atom-color: #88f;--jp-mirror-editor-number-color: #080;--jp-mirror-editor-def-color: #00f;--jp-mirror-editor-variable-color: var(--md-grey-900);--jp-mirror-editor-variable-2-color: #05a;--jp-mirror-editor-variable-3-color: #085;--jp-mirror-editor-punctuation-color: #05a;--jp-mirror-editor-property-color: #05a;--jp-mirror-editor-operator-color: #aa22ff;--jp-mirror-editor-comment-color: #408080;--jp-mirror-editor-string-color: #ba2121;--jp-mirror-editor-string-2-color: #708;--jp-mirror-editor-meta-color: #aa22ff;--jp-mirror-editor-qualifier-color: #555;--jp-mirror-editor-builtin-color: #008000;--jp-mirror-editor-bracket-color: #997;--jp-mirror-editor-tag-color: #170;--jp-mirror-editor-attribute-color: #00c;--jp-mirror-editor-header-color: blue;--jp-mirror-editor-quote-color: #090;--jp-mirror-editor-link-color: #00c;--jp-mirror-editor-error-color: #f00;--jp-mirror-editor-hr-color: #999;--jp-collaborator-color1: #ffad8e;--jp-collaborator-color2: #dac83d;--jp-collaborator-color3: #72dd76;--jp-collaborator-color4: #00e4d0;--jp-collaborator-color5: #45d4ff;--jp-collaborator-color6: #e2b1ff;--jp-collaborator-color7: #ff9de6;--jp-vega-background: white;--jp-sidebar-min-width: 250px;--jp-search-toggle-off-opacity: .5;--jp-search-toggle-hover-opacity: .8;--jp-search-toggle-on-opacity: 1;--jp-search-selected-match-background-color: rgb(245, 200, 0);--jp-search-selected-match-color: black;--jp-search-unselected-match-background-color: var( --jp-inverse-layout-color0 );--jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);--jp-icon-contrast-color0: var(--md-purple-600);--jp-icon-contrast-color1: var(--md-green-600);--jp-icon-contrast-color2: var(--md-pink-600);--jp-icon-contrast-color3: var(--md-blue-600);--jp-jupyter-icon-color: #f37626;--jp-notebook-icon-color: #f37626;--jp-json-icon-color: var(--md-orange-700);--jp-console-icon-background-color: var(--md-blue-700);--jp-console-icon-color: white;--jp-terminal-icon-background-color: var(--md-grey-800);--jp-terminal-icon-color: var(--md-grey-200);--jp-text-editor-icon-color: var(--md-grey-700);--jp-inspector-icon-color: var(--md-grey-700);--jp-switch-color: var(--md-grey-400);--jp-switch-true-position-color: var(--md-orange-900)}[data-md-color-scheme=slate] .jupyter-wrapper{--jp-shadow-base-lightness: 32;--jp-shadow-umbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), .2 );--jp-shadow-penumbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), .14 );--jp-shadow-ambient-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), .12 );--jp-elevation-z0: none;--jp-elevation-z1: 0px 2px 1px -1px var(--jp-shadow-umbra-color), 0px 1px 1px 0px var(--jp-shadow-penumbra-color), 0px 1px 3px 0px var(--jp-shadow-ambient-color);--jp-elevation-z2: 0px 3px 1px -2px var(--jp-shadow-umbra-color), 0px 2px 2px 0px var(--jp-shadow-penumbra-color), 0px 1px 5px 0px var(--jp-shadow-ambient-color);--jp-elevation-z4: 0px 2px 4px -1px var(--jp-shadow-umbra-color), 0px 4px 5px 0px var(--jp-shadow-penumbra-color), 0px 1px 10px 0px var(--jp-shadow-ambient-color);--jp-elevation-z6: 0px 3px 5px -1px var(--jp-shadow-umbra-color), 0px 6px 10px 0px var(--jp-shadow-penumbra-color), 0px 1px 18px 0px var(--jp-shadow-ambient-color);--jp-elevation-z8: 0px 5px 5px -3px var(--jp-shadow-umbra-color), 0px 8px 10px 1px var(--jp-shadow-penumbra-color), 0px 3px 14px 2px var(--jp-shadow-ambient-color);--jp-elevation-z12: 0px 7px 8px -4px var(--jp-shadow-umbra-color), 0px 12px 17px 2px var(--jp-shadow-penumbra-color), 0px 5px 22px 4px var(--jp-shadow-ambient-color);--jp-elevation-z16: 0px 8px 10px -5px var(--jp-shadow-umbra-color), 0px 16px 24px 2px var(--jp-shadow-penumbra-color), 0px 6px 30px 5px var(--jp-shadow-ambient-color);--jp-elevation-z20: 0px 10px 13px -6px var(--jp-shadow-umbra-color), 0px 20px 31px 3px var(--jp-shadow-penumbra-color), 0px 8px 38px 7px var(--jp-shadow-ambient-color);--jp-elevation-z24: 0px 11px 15px -7px var(--jp-shadow-umbra-color), 0px 24px 38px 3px var(--jp-shadow-penumbra-color), 0px 9px 46px 8px var(--jp-shadow-ambient-color);--jp-border-width: 1px;--jp-border-color0: var(--md-grey-700);--jp-border-color1: var(--md-grey-700);--jp-border-color2: var(--md-grey-800);--jp-border-color3: var(--md-grey-900);--jp-inverse-border-color: var(--md-grey-600);--jp-border-radius: 2px;--jp-ui-font-scale-factor: 1.2;--jp-ui-font-size0: .83333em;--jp-ui-font-size1: 13px;--jp-ui-font-size2: 1.2em;--jp-ui-font-size3: 1.44em;--jp-ui-font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";--jp-ui-font-color0: rgba(255, 255, 255, 1);--jp-ui-font-color1: rgba(255, 255, 255, .87);--jp-ui-font-color2: rgba(255, 255, 255, .54);--jp-ui-font-color3: rgba(255, 255, 255, .38);--jp-ui-inverse-font-color0: rgba(0, 0, 0, 1);--jp-ui-inverse-font-color1: rgba(0, 0, 0, .8);--jp-ui-inverse-font-color2: rgba(0, 0, 0, .5);--jp-ui-inverse-font-color3: rgba(0, 0, 0, .3);--jp-content-line-height: 1.6;--jp-content-font-scale-factor: 1.2;--jp-content-font-size0: .83333em;--jp-content-font-size1: 14px;--jp-content-font-size2: 1.2em;--jp-content-font-size3: 1.44em;--jp-content-font-size4: 1.728em;--jp-content-font-size5: 2.0736em;--jp-content-presentation-font-size1: 17px;--jp-content-heading-line-height: 1;--jp-content-heading-margin-top: 1.2em;--jp-content-heading-margin-bottom: .8em;--jp-content-heading-font-weight: 500;--jp-content-font-color0: rgba(255, 255, 255, 1);--jp-content-font-color1: rgba(255, 255, 255, 1);--jp-content-font-color2: rgba(255, 255, 255, .7);--jp-content-font-color3: rgba(255, 255, 255, .5);--jp-content-link-color: var(--md-blue-300);--jp-content-font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";--jp-code-font-size: 13px;--jp-code-line-height: 1.3077;--jp-code-padding: 5px;--jp-code-font-family-default: Menlo, Consolas, "DejaVu Sans Mono", monospace;--jp-code-font-family: var(--jp-code-font-family-default);--jp-code-presentation-font-size: 16px;--jp-code-cursor-width0: 1.4px;--jp-code-cursor-width1: 2px;--jp-code-cursor-width2: 4px;--jp-layout-color0: #111111;--jp-layout-color1: var(--md-grey-900);--jp-layout-color2: var(--md-grey-800);--jp-layout-color3: var(--md-grey-700);--jp-layout-color4: var(--md-grey-600);--jp-inverse-layout-color0: white;--jp-inverse-layout-color1: white;--jp-inverse-layout-color2: var(--md-grey-200);--jp-inverse-layout-color3: var(--md-grey-400);--jp-inverse-layout-color4: var(--md-grey-600);--jp-brand-color0: var(--md-blue-700);--jp-brand-color1: var(--md-blue-500);--jp-brand-color2: var(--md-blue-300);--jp-brand-color3: var(--md-blue-100);--jp-brand-color4: var(--md-blue-50);--jp-accent-color0: var(--md-green-700);--jp-accent-color1: var(--md-green-500);--jp-accent-color2: var(--md-green-300);--jp-accent-color3: var(--md-green-100);--jp-warn-color0: var(--md-orange-700);--jp-warn-color1: var(--md-orange-500);--jp-warn-color2: var(--md-orange-300);--jp-warn-color3: var(--md-orange-100);--jp-error-color0: var(--md-red-700);--jp-error-color1: var(--md-red-500);--jp-error-color2: var(--md-red-300);--jp-error-color3: var(--md-red-100);--jp-success-color0: var(--md-green-700);--jp-success-color1: var(--md-green-500);--jp-success-color2: var(--md-green-300);--jp-success-color3: var(--md-green-100);--jp-info-color0: var(--md-cyan-700);--jp-info-color1: var(--md-cyan-500);--jp-info-color2: var(--md-cyan-300);--jp-info-color3: var(--md-cyan-100);--jp-cell-padding: 5px;--jp-cell-collapser-width: 8px;--jp-cell-collapser-min-height: 20px;--jp-cell-collapser-not-active-hover-opacity: .6;--jp-cell-editor-background: var(--jp-layout-color1);--jp-cell-editor-border-color: var(--md-grey-700);--jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);--jp-cell-editor-active-background: var(--jp-layout-color0);--jp-cell-editor-active-border-color: var(--jp-brand-color1);--jp-cell-prompt-width: 64px;--jp-cell-prompt-font-family: var(--jp-code-font-family-default);--jp-cell-prompt-letter-spacing: 0px;--jp-cell-prompt-opacity: 1;--jp-cell-prompt-not-active-opacity: 1;--jp-cell-prompt-not-active-font-color: var(--md-grey-300);--jp-cell-inprompt-font-color: #307fc1;--jp-cell-outprompt-font-color: #bf5b3d;--jp-notebook-padding: 10px;--jp-notebook-select-background: var(--jp-layout-color1);--jp-notebook-multiselected-color: rgba(33, 150, 243, .24);--jp-notebook-scroll-padding: calc( 100% - var(--jp-code-font-size) * var(--jp-code-line-height) - var(--jp-code-padding) - var(--jp-cell-padding) - 1px );--jp-rendermime-error-background: rgba(244, 67, 54, .28);--jp-rendermime-table-row-background: var(--md-grey-900);--jp-rendermime-table-row-hover-background: rgba(3, 169, 244, .2);--jp-dialog-background: rgba(0, 0, 0, .6);--jp-console-padding: 10px;--jp-toolbar-border-color: var(--jp-border-color2);--jp-toolbar-micro-height: 8px;--jp-toolbar-background: var(--jp-layout-color1);--jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, .8);--jp-toolbar-header-margin: 4px 4px 0px 4px;--jp-toolbar-active-background: var(--jp-layout-color0);--jp-statusbar-height: 24px;--jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);--jp-input-active-background: var(--jp-layout-color0);--jp-input-hover-background: var(--jp-layout-color2);--jp-input-background: var(--md-grey-800);--jp-input-border-color: var(--jp-inverse-border-color);--jp-input-active-border-color: var(--jp-brand-color1);--jp-input-active-box-shadow-color: rgba(19, 124, 189, .3);--jp-editor-selected-background: var(--jp-layout-color2);--jp-editor-selected-focused-background: rgba(33, 150, 243, .24);--jp-editor-cursor-color: var(--jp-ui-font-color0);--jp-mirror-editor-keyword-color: var(--md-green-500);--jp-mirror-editor-atom-color: var(--md-blue-300);--jp-mirror-editor-number-color: var(--md-green-400);--jp-mirror-editor-def-color: var(--md-blue-600);--jp-mirror-editor-variable-color: var(--md-grey-300);--jp-mirror-editor-variable-2-color: var(--md-blue-400);--jp-mirror-editor-variable-3-color: var(--md-green-600);--jp-mirror-editor-punctuation-color: var(--md-blue-400);--jp-mirror-editor-property-color: var(--md-blue-400);--jp-mirror-editor-operator-color: #aa22ff;--jp-mirror-editor-comment-color: #408080;--jp-mirror-editor-string-color: #ff7070;--jp-mirror-editor-string-2-color: var(--md-purple-300);--jp-mirror-editor-meta-color: #aa22ff;--jp-mirror-editor-qualifier-color: #555;--jp-mirror-editor-builtin-color: var(--md-green-600);--jp-mirror-editor-bracket-color: #997;--jp-mirror-editor-tag-color: var(--md-green-700);--jp-mirror-editor-attribute-color: var(--md-blue-700);--jp-mirror-editor-header-color: var(--md-blue-500);--jp-mirror-editor-quote-color: var(--md-green-300);--jp-mirror-editor-link-color: var(--md-blue-700);--jp-mirror-editor-error-color: #f00;--jp-mirror-editor-hr-color: #999;--jp-collaborator-color1: #ad4a00;--jp-collaborator-color2: #7b6a00;--jp-collaborator-color3: #007e00;--jp-collaborator-color4: #008772;--jp-collaborator-color5: #0079b9;--jp-collaborator-color6: #8b45c6;--jp-collaborator-color7: #be208b;--jp-vega-background: var(--md-grey-400);--jp-sidebar-min-width: 250px;--jp-search-toggle-off-opacity: .6;--jp-search-toggle-hover-opacity: .8;--jp-search-toggle-on-opacity: 1;--jp-search-selected-match-background-color: rgb(255, 225, 0);--jp-search-selected-match-color: black;--jp-search-unselected-match-background-color: var( --jp-inverse-layout-color0 );--jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);--jp-scrollbar-background-color: #3f4244;--jp-scrollbar-thumb-color: 88, 96, 97;--jp-scrollbar-endpad: 3px;--jp-scrollbar-thumb-margin: 3.5px;--jp-scrollbar-thumb-radius: 9px;--jp-icon-contrast-color0: var(--md-purple-600);--jp-icon-contrast-color1: var(--md-green-600);--jp-icon-contrast-color2: var(--md-pink-600);--jp-icon-contrast-color3: var(--md-blue-600);--jp-jupyter-icon-color: #f37626;--jp-notebook-icon-color: #f37626;--jp-json-icon-color: var(--md-orange-500);--jp-console-icon-background-color: var(--md-blue-500);--jp-console-icon-color: white;--jp-terminal-icon-background-color: var(--md-grey-200);--jp-terminal-icon-color: var(--md-grey-800);--jp-text-editor-icon-color: var(--md-grey-200);--jp-inspector-icon-color: var(--md-grey-200);--jp-switch-color: var(--md-grey-400);--jp-switch-true-position-color: var(--md-orange-700)}.jupyter-wrapper [data-jp-theme-scrollbars=true]{scrollbar-color:rgb(var(--jp-scrollbar-thumb-color)) var(--jp-scrollbar-background-color)}.jupyter-wrapper [data-jp-theme-scrollbars=true] .CodeMirror-hscrollbar,.jupyter-wrapper [data-jp-theme-scrollbars=true] .CodeMirror-vscrollbar{scrollbar-color:rgba(var(--jp-scrollbar-thumb-color),.5) transparent}.jupyter-wrapper .jp-scrollbar-tiny{scrollbar-color:rgba(var(--jp-scrollbar-thumb-color),.5) transparent;scrollbar-width:thin}.jupyter-wrapper [data-jp-theme-scrollbars=true] ::-webkit-scrollbar,.jupyter-wrapper [data-jp-theme-scrollbars=true] 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We utilize OpenAI GPT4V MultiModal LLM class that employs <a href="https://github.com/openai/CLIP">CLIP</a> to generate multimodal embeddings. Furthermore, we use <a href="https://docs.llamaindex.ai/en/latest/examples/vector_stores/LanceDBIndexDemo.html#">LanceDBVectorStore</a> for efficient vector storage.</p> <p>Steps:</p> <ol> <li><p>Download video from YouTube, process and store it.</p> </li> <li><p>Build Multi-Modal index and vector store for both texts and images.</p> </li> <li><p>Retrieve relevant images and context, use both to augment the prompt.</p> </li> <li><p>Using GPT4V for reasoning the correlations between the input query and augmented data and generating final response.</p> </li> </ol> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-1"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">llama</span><span class="o">-</span><span class="n">index</span><span class="o">-</span><span class="n">vector</span><span class="o">-</span><span class="n">stores</span><span class="o">-</span><span class="n">lancedb</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">llama</span><span class="o">-</span><span class="n">index</span><span class="o">-</span><span class="n">multi</span><span class="o">-</span><span class="n">modal</span><span class="o">-</span><span class="n">llms</span><span class="o">-</span><span class="n">openai</span> </pre></div> <div class="clipboard-copy-txt" id="cell-1">%pip install llama-index-vector-stores-lancedb %pip install llama-index-multi-modal-llms-openai</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-2"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">llama</span><span class="o">-</span><span class="n">index</span><span class="o">-</span><span class="n">multi</span><span class="o">-</span><span class="n">modal</span><span class="o">-</span><span class="n">llms</span><span class="o">-</span><span class="n">openai</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">llama</span><span class="o">-</span><span class="n">index</span><span class="o">-</span><span class="n">vector</span><span class="o">-</span><span class="n">stores</span><span class="o">-</span><span class="n">lancedb</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">llama</span><span class="o">-</span><span class="n">index</span><span class="o">-</span><span class="n">embeddings</span><span class="o">-</span><span class="n">clip</span> </pre></div> <div class="clipboard-copy-txt" id="cell-2">%pip install llama-index-multi-modal-llms-openai %pip install llama-index-vector-stores-lancedb %pip install llama-index-embeddings-clip</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-3"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">llama_index</span> <span class="n">ftfy</span> <span class="n">regex</span> <span class="n">tqdm</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="o">-</span><span class="n">U</span> <span class="n">openai</span><span class="o">-</span><span class="n">whisper</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">git</span><span class="o">+</span><span class="n">https</span><span class="p">:</span><span class="o">//</span><span class="n">github</span><span class="o">.</span><span class="n">com</span><span class="o">/</span><span class="n">openai</span><span class="o">/</span><span class="n">CLIP</span><span class="o">.</span><span class="n">git</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">torch</span> <span class="n">torchvision</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">matplotlib</span> <span class="n">scikit</span><span class="o">-</span><span class="n">image</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">lancedb</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">moviepy</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">pytube</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">pydub</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">SpeechRecognition</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">ffmpeg</span><span class="o">-</span><span class="n">python</span> <span class="o">%</span><span class="n">pip</span> <span class="n">install</span> <span class="n">soundfile</span> </pre></div> <div class="clipboard-copy-txt" id="cell-3">%pip install llama_index ftfy regex tqdm %pip install -U openai-whisper %pip install git+https://github.com/openai/CLIP.git %pip install torch torchvision %pip install matplotlib scikit-image %pip install lancedb %pip install moviepy %pip install pytube %pip install pydub %pip install SpeechRecognition %pip install ffmpeg-python %pip install soundfile</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-4"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">from</span> <span class="nn">moviepy.editor</span> <span class="kn">import</span> <span class="n">VideoFileClip</span> <span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span> <span class="kn">import</span> <span class="nn">speech_recognition</span> <span class="k">as</span> <span class="nn">sr</span> <span class="kn">from</span> <span class="nn">pytube</span> <span class="kn">import</span> <span class="n">YouTube</span> <span class="kn">from</span> <span class="nn">pprint</span> <span class="kn">import</span> <span class="n">pprint</span> </pre></div> <div class="clipboard-copy-txt" id="cell-4">from moviepy.editor import VideoFileClip from pathlib import Path import speech_recognition as sr from pytube import YouTube from pprint import pprint</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-5"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">import</span> <span class="nn">os</span> <span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="s2">""</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">[</span><span class="s2">"OPENAI_API_KEY"</span><span class="p">]</span> <span class="o">=</span> <span class="n">OPENAI_API_KEY</span> </pre></div> <div class="clipboard-copy-txt" id="cell-5">import os OPENAI_API_KEY = "" os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="set-configuration-for-input-below">Set configuration for input below<a class="anchor-link" href="#set-configuration-for-input-below">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-6"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="n">video_url</span> <span class="o">=</span> <span class="s2">"https://www.youtube.com/watch?v=d_qvLDhkg00"</span> <span class="n">output_video_path</span> <span class="o">=</span> <span class="s2">"./video_data/"</span> <span class="n">output_folder</span> <span class="o">=</span> <span class="s2">"./mixed_data/"</span> <span class="n">output_audio_path</span> <span class="o">=</span> <span class="s2">"./mixed_data/output_audio.wav"</span> <span class="n">filepath</span> <span class="o">=</span> <span class="n">output_video_path</span> <span class="o">+</span> <span class="s2">"input_vid.mp4"</span> <span class="n">Path</span><span class="p">(</span><span class="n">output_folder</span><span class="p">)</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">exist_ok</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-6">video_url = "https://www.youtube.com/watch?v=d_qvLDhkg00" output_video_path = "./video_data/" output_folder = "./mixed_data/" output_audio_path = "./mixed_data/output_audio.wav" filepath = output_video_path + "input_vid.mp4" Path(output_folder).mkdir(parents=True, exist_ok=True)</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="download-and-process-videos-into-appropriate-format-for-generatingstoring-embeddings">Download and process videos into appropriate format for generating/storing embeddings<a class="anchor-link" href="#download-and-process-videos-into-appropriate-format-for-generatingstoring-embeddings">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-7"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">from</span> <span class="nn">PIL</span> <span class="kn">import</span> <span class="n">Image</span> <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> <span class="kn">import</span> <span class="nn">os</span> <span class="k">def</span> <span class="nf">plot_images</span><span class="p">(</span><span class="n">image_paths</span><span class="p">):</span> <span class="n">images_shown</span> <span class="o">=</span> <span class="mi">0</span> <span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">16</span><span class="p">,</span> <span class="mi">9</span><span class="p">))</span> <span class="k">for</span> <span class="n">img_path</span> <span class="ow">in</span> <span class="n">image_paths</span><span class="p">:</span> <span class="k">if</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">isfile</span><span class="p">(</span><span class="n">img_path</span><span class="p">):</span> <span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">img_path</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">images_shown</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span> <span class="n">plt</span><span class="o">.</span><span class="n">xticks</span><span class="p">([])</span> <span class="n">plt</span><span class="o">.</span><span class="n">yticks</span><span class="p">([])</span> <span class="n">images_shown</span> <span class="o">+=</span> <span class="mi">1</span> <span class="k">if</span> <span class="n">images_shown</span> <span class="o">>=</span> <span class="mi">7</span><span class="p">:</span> <span class="k">break</span> </pre></div> <div class="clipboard-copy-txt" id="cell-7">from PIL import Image import matplotlib.pyplot as plt import os def plot_images(image_paths): images_shown = 0 plt.figure(figsize=(16, 9)) for img_path in image_paths: if os.path.isfile(img_path): image = Image.open(img_path) plt.subplot(2, 3, images_shown + 1) plt.imshow(image) plt.xticks([]) plt.yticks([]) images_shown += 1 if images_shown >= 7: break</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-8"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="k">def</span> <span class="nf">download_video</span><span class="p">(</span><span class="n">url</span><span class="p">,</span> <span class="n">output_path</span><span class="p">):</span> <span class="w"> </span><span class="sd">"""</span> <span class="sd"> Download a video from a given url and save it to the output path.</span> <span class="sd"> Parameters:</span> <span class="sd"> url (str): The url of the video to download.</span> <span class="sd"> output_path (str): The path to save the video to.</span> <span class="sd"> Returns:</span> <span class="sd"> dict: A dictionary containing the metadata of the video.</span> <span class="sd"> """</span> <span class="n">yt</span> <span class="o">=</span> <span class="n">YouTube</span><span class="p">(</span><span class="n">url</span><span class="p">)</span> <span class="n">metadata</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"Author"</span><span class="p">:</span> <span class="n">yt</span><span class="o">.</span><span class="n">author</span><span class="p">,</span> <span class="s2">"Title"</span><span class="p">:</span> <span class="n">yt</span><span class="o">.</span><span class="n">title</span><span class="p">,</span> <span class="s2">"Views"</span><span class="p">:</span> <span class="n">yt</span><span class="o">.</span><span class="n">views</span><span class="p">}</span> <span class="n">yt</span><span class="o">.</span><span class="n">streams</span><span class="o">.</span><span class="n">get_highest_resolution</span><span class="p">()</span><span class="o">.</span><span class="n">download</span><span class="p">(</span> <span class="n">output_path</span><span class="o">=</span><span class="n">output_path</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s2">"input_vid.mp4"</span> <span class="p">)</span> <span class="k">return</span> <span class="n">metadata</span> <span class="k">def</span> <span class="nf">video_to_images</span><span class="p">(</span><span class="n">video_path</span><span class="p">,</span> <span class="n">output_folder</span><span class="p">):</span> <span class="w"> </span><span class="sd">"""</span> <span class="sd"> Convert a video to a sequence of images and save them to the output folder.</span> <span class="sd"> Parameters:</span> <span class="sd"> video_path (str): The path to the video file.</span> <span class="sd"> output_folder (str): The path to the folder to save the images to.</span> <span class="sd"> """</span> <span class="n">clip</span> <span class="o">=</span> <span class="n">VideoFileClip</span><span class="p">(</span><span class="n">video_path</span><span class="p">)</span> <span class="n">clip</span><span class="o">.</span><span class="n">write_images_sequence</span><span class="p">(</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">output_folder</span><span class="p">,</span> <span class="s2">"frame</span><span class="si">%04d</span><span class="s2">.png"</span><span class="p">),</span> <span class="n">fps</span><span class="o">=</span><span class="mf">0.2</span> <span class="p">)</span> <span class="k">def</span> <span class="nf">video_to_audio</span><span class="p">(</span><span class="n">video_path</span><span class="p">,</span> <span class="n">output_audio_path</span><span class="p">):</span> <span class="w"> </span><span class="sd">"""</span> <span class="sd"> Convert a video to audio and save it to the output path.</span> <span class="sd"> Parameters:</span> <span class="sd"> video_path (str): The path to the video file.</span> <span class="sd"> output_audio_path (str): The path to save the audio to.</span> <span class="sd"> """</span> <span class="n">clip</span> <span class="o">=</span> <span class="n">VideoFileClip</span><span class="p">(</span><span class="n">video_path</span><span class="p">)</span> <span class="n">audio</span> <span class="o">=</span> <span class="n">clip</span><span class="o">.</span><span class="n">audio</span> <span class="n">audio</span><span class="o">.</span><span class="n">write_audiofile</span><span class="p">(</span><span class="n">output_audio_path</span><span class="p">)</span> <span class="k">def</span> <span class="nf">audio_to_text</span><span class="p">(</span><span class="n">audio_path</span><span class="p">):</span> <span class="w"> </span><span class="sd">"""</span> <span class="sd"> Convert audio to text using the SpeechRecognition library.</span> <span class="sd"> Parameters:</span> <span class="sd"> audio_path (str): The path to the audio file.</span> <span class="sd"> Returns:</span> <span class="sd"> test (str): The text recognized from the audio.</span> <span class="sd"> """</span> <span class="n">recognizer</span> <span class="o">=</span> <span class="n">sr</span><span class="o">.</span><span class="n">Recognizer</span><span class="p">()</span> <span class="n">audio</span> <span class="o">=</span> <span class="n">sr</span><span class="o">.</span><span class="n">AudioFile</span><span class="p">(</span><span class="n">audio_path</span><span class="p">)</span> <span class="k">with</span> <span class="n">audio</span> <span class="k">as</span> <span class="n">source</span><span class="p">:</span> <span class="c1"># Record the audio data</span> <span class="n">audio_data</span> <span class="o">=</span> <span class="n">recognizer</span><span class="o">.</span><span class="n">record</span><span class="p">(</span><span class="n">source</span><span class="p">)</span> <span class="k">try</span><span class="p">:</span> <span class="c1"># Recognize the speech</span> <span class="n">text</span> <span class="o">=</span> <span class="n">recognizer</span><span class="o">.</span><span class="n">recognize_whisper</span><span class="p">(</span><span class="n">audio_data</span><span class="p">)</span> <span class="k">except</span> <span class="n">sr</span><span class="o">.</span><span class="n">UnknownValueError</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="s2">"Speech recognition could not understand the audio."</span><span class="p">)</span> <span class="k">except</span> <span class="n">sr</span><span class="o">.</span><span class="n">RequestError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Could not request results from service; </span><span class="si">{</span><span class="n">e</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span> <span class="k">return</span> <span class="n">text</span> </pre></div> <div class="clipboard-copy-txt" id="cell-8">def download_video(url, output_path): """ Download a video from a given url and save it to the output path. Parameters: url (str): The url of the video to download. output_path (str): The path to save the video to. Returns: dict: A dictionary containing the metadata of the video. """ yt = YouTube(url) metadata = {"Author": yt.author, "Title": yt.title, "Views": yt.views} yt.streams.get_highest_resolution().download( output_path=output_path, filename="input_vid.mp4" ) return metadata def video_to_images(video_path, output_folder): """ Convert a video to a sequence of images and save them to the output folder. Parameters: video_path (str): The path to the video file. output_folder (str): The path to the folder to save the images to. """ clip = VideoFileClip(video_path) clip.write_images_sequence( os.path.join(output_folder, "frame%04d.png"), fps=0.2 ) def video_to_audio(video_path, output_audio_path): """ Convert a video to audio and save it to the output path. Parameters: video_path (str): The path to the video file. output_audio_path (str): The path to save the audio to. """ clip = VideoFileClip(video_path) audio = clip.audio audio.write_audiofile(output_audio_path) def audio_to_text(audio_path): """ Convert audio to text using the SpeechRecognition library. Parameters: audio_path (str): The path to the audio file. Returns: test (str): The text recognized from the audio. """ recognizer = sr.Recognizer() audio = sr.AudioFile(audio_path) with audio as source: # Record the audio data audio_data = recognizer.record(source) try: # Recognize the speech text = recognizer.recognize_whisper(audio_data) except sr.UnknownValueError: print("Speech recognition could not understand the audio.") except sr.RequestError as e: print(f"Could not request results from service; {e}") return text</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-9"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="k">try</span><span class="p">:</span> <span class="n">metadata_vid</span> <span class="o">=</span> <span class="n">download_video</span><span class="p">(</span><span class="n">video_url</span><span class="p">,</span> <span class="n">output_video_path</span><span class="p">)</span> <span class="n">video_to_images</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">output_folder</span><span class="p">)</span> <span class="n">video_to_audio</span><span class="p">(</span><span class="n">filepath</span><span class="p">,</span> <span class="n">output_audio_path</span><span class="p">)</span> <span class="n">text_data</span> <span class="o">=</span> <span class="n">audio_to_text</span><span class="p">(</span><span class="n">output_audio_path</span><span class="p">)</span> <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">output_folder</span> <span class="o">+</span> <span class="s2">"output_text.txt"</span><span class="p">,</span> <span class="s2">"w"</span><span class="p">)</span> <span class="k">as</span> <span class="n">file</span><span class="p">:</span> <span class="n">file</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">text_data</span><span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="s2">"Text data saved to file"</span><span class="p">)</span> <span class="n">file</span><span class="o">.</span><span class="n">close</span><span class="p">()</span> <span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">output_audio_path</span><span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="s2">"Audio file removed"</span><span class="p">)</span> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> <span class="k">raise</span> <span class="n">e</span> </pre></div> <div class="clipboard-copy-txt" id="cell-9">try: metadata_vid = download_video(video_url, output_video_path) video_to_images(filepath, output_folder) video_to_audio(filepath, output_audio_path) text_data = audio_to_text(output_audio_path) with open(output_folder + "output_text.txt", "w") as file: file.write(text_data) print("Text data saved to file") file.close() os.remove(output_audio_path) print("Audio file removed") except Exception as e: raise e</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="create-the-multi-modal-index">Create the multi-modal index<a class="anchor-link" href="#create-the-multi-modal-index">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-10"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">from</span> <span class="nn">llama_index.core.indices</span> <span class="kn">import</span> <span class="n">MultiModalVectorStoreIndex</span> <span class="kn">from</span> <span class="nn">llama_index.core</span> <span class="kn">import</span> <span class="n">SimpleDirectoryReader</span><span class="p">,</span> <span class="n">StorageContext</span> <span class="kn">from</span> <span class="nn">llama_index.core</span> <span class="kn">import</span> <span class="n">SimpleDirectoryReader</span><span class="p">,</span> <span class="n">StorageContext</span> <span class="kn">from</span> <span class="nn">llama_index.vector_stores.lancedb</span> <span class="kn">import</span> <span class="n">LanceDBVectorStore</span> <span class="kn">from</span> <span class="nn">llama_index.core</span> <span class="kn">import</span> <span class="n">SimpleDirectoryReader</span> <span class="n">text_store</span> <span class="o">=</span> <span class="n">LanceDBVectorStore</span><span class="p">(</span><span class="n">uri</span><span class="o">=</span><span class="s2">"lancedb"</span><span class="p">,</span> <span class="n">table_name</span><span class="o">=</span><span class="s2">"text_collection"</span><span class="p">)</span> <span class="n">image_store</span> <span class="o">=</span> <span class="n">LanceDBVectorStore</span><span class="p">(</span><span class="n">uri</span><span class="o">=</span><span class="s2">"lancedb"</span><span class="p">,</span> <span class="n">table_name</span><span class="o">=</span><span class="s2">"image_collection"</span><span class="p">)</span> <span class="n">storage_context</span> <span class="o">=</span> <span class="n">StorageContext</span><span class="o">.</span><span class="n">from_defaults</span><span class="p">(</span> <span class="n">vector_store</span><span class="o">=</span><span class="n">text_store</span><span class="p">,</span> <span class="n">image_store</span><span class="o">=</span><span class="n">image_store</span> <span class="p">)</span> <span class="c1"># Create the MultiModal index</span> <span class="n">documents</span> <span class="o">=</span> <span class="n">SimpleDirectoryReader</span><span class="p">(</span><span class="n">output_folder</span><span class="p">)</span><span class="o">.</span><span class="n">load_data</span><span class="p">()</span> <span class="n">index</span> <span class="o">=</span> <span class="n">MultiModalVectorStoreIndex</span><span class="o">.</span><span class="n">from_documents</span><span class="p">(</span> <span class="n">documents</span><span class="p">,</span> <span class="n">storage_context</span><span class="o">=</span><span class="n">storage_context</span><span class="p">,</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-10">from llama_index.core.indices import MultiModalVectorStoreIndex from llama_index.core import SimpleDirectoryReader, StorageContext from llama_index.core import SimpleDirectoryReader, StorageContext from llama_index.vector_stores.lancedb import LanceDBVectorStore from llama_index.core import SimpleDirectoryReader text_store = LanceDBVectorStore(uri="lancedb", table_name="text_collection") image_store = LanceDBVectorStore(uri="lancedb", table_name="image_collection") storage_context = StorageContext.from_defaults( vector_store=text_store, image_store=image_store ) # Create the MultiModal index documents = SimpleDirectoryReader(output_folder).load_data() index = MultiModalVectorStoreIndex.from_documents( documents, storage_context=storage_context, )</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="use-index-as-retriever-to-fetch-top-k-5-in-this-example-results-from-the-multimodal-vector-index">Use index as retriever to fetch top k (5 in this example) results from the multimodal vector index<a class="anchor-link" href="#use-index-as-retriever-to-fetch-top-k-5-in-this-example-results-from-the-multimodal-vector-index">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-11"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="n">retriever_engine</span> <span class="o">=</span> <span class="n">index</span><span class="o">.</span><span class="n">as_retriever</span><span class="p">(</span> <span class="n">similarity_top_k</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span> <span class="n">image_similarity_top_k</span><span class="o">=</span><span class="mi">5</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-11">retriever_engine = index.as_retriever( similarity_top_k=5, image_similarity_top_k=5 )</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="set-the-rag-prompt-template">Set the RAG prompt template<a class="anchor-link" href="#set-the-rag-prompt-template">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-12"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">import</span> <span class="nn">json</span> <span class="n">metadata_str</span> <span class="o">=</span> <span class="n">json</span><span class="o">.</span><span class="n">dumps</span><span class="p">(</span><span class="n">metadata_vid</span><span class="p">)</span> <span class="n">qa_tmpl_str</span> <span class="o">=</span> <span class="p">(</span> <span class="s2">"Given the provided information, including relevant images and retrieved context from the video, </span><span class="se">\</span> <span class="s2"> accurately and precisely answer the query without any additional prior knowledge.</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"Please ensure honesty and responsibility, refraining from any racist or sexist remarks.</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"---------------------</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"Context: </span><span class="si">{context_str}</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"Metadata for video: </span><span class="si">{metadata_str}</span><span class="s2"> </span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"---------------------</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"Query: </span><span class="si">{query_str}</span><span class="se">\n</span><span class="s2">"</span> <span class="s2">"Answer: "</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-12">import json metadata_str = json.dumps(metadata_vid) qa_tmpl_str = ( "Given the provided information, including relevant images and retrieved context from the video, \ accurately and precisely answer the query without any additional prior knowledge.\n" "Please ensure honesty and responsibility, refraining from any racist or sexist remarks.\n" "---------------------\n" "Context: {context_str}\n" "Metadata for video: {metadata_str} \n" "---------------------\n" "Query: {query_str}\n" "Answer: " )</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="retrieve-most-similar-textimage-embeddings-baseed-on-user-query-from-the-db">Retrieve most similar text/image embeddings baseed on user query from the DB<a class="anchor-link" href="#retrieve-most-similar-textimage-embeddings-baseed-on-user-query-from-the-db">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-13"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">from</span> <span class="nn">llama_index.core.response.notebook_utils</span> <span class="kn">import</span> <span class="n">display_source_node</span> <span class="kn">from</span> <span class="nn">llama_index.core.schema</span> <span class="kn">import</span> <span class="n">ImageNode</span> <span class="k">def</span> <span class="nf">retrieve</span><span class="p">(</span><span class="n">retriever_engine</span><span class="p">,</span> <span class="n">query_str</span><span class="p">):</span> <span class="n">retrieval_results</span> <span class="o">=</span> <span class="n">retriever_engine</span><span class="o">.</span><span class="n">retrieve</span><span class="p">(</span><span class="n">query_str</span><span class="p">)</span> <span class="n">retrieved_image</span> <span class="o">=</span> <span class="p">[]</span> <span class="n">retrieved_text</span> <span class="o">=</span> <span class="p">[]</span> <span class="k">for</span> <span class="n">res_node</span> <span class="ow">in</span> <span class="n">retrieval_results</span><span class="p">:</span> <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">res_node</span><span class="o">.</span><span class="n">node</span><span class="p">,</span> <span class="n">ImageNode</span><span class="p">):</span> <span class="n">retrieved_image</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">res_node</span><span class="o">.</span><span class="n">node</span><span class="o">.</span><span class="n">metadata</span><span class="p">[</span><span class="s2">"file_path"</span><span class="p">])</span> <span class="k">else</span><span class="p">:</span> <span class="n">display_source_node</span><span class="p">(</span><span class="n">res_node</span><span class="p">,</span> <span class="n">source_length</span><span class="o">=</span><span class="mi">200</span><span class="p">)</span> <span class="n">retrieved_text</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">res_node</span><span class="o">.</span><span class="n">text</span><span class="p">)</span> <span class="k">return</span> <span class="n">retrieved_image</span><span class="p">,</span> <span class="n">retrieved_text</span> </pre></div> <div class="clipboard-copy-txt" id="cell-13">from llama_index.core.response.notebook_utils import display_source_node from llama_index.core.schema import ImageNode def retrieve(retriever_engine, query_str): retrieval_results = retriever_engine.retrieve(query_str) retrieved_image = [] retrieved_text = [] for res_node in retrieval_results: if isinstance(res_node.node, ImageNode): retrieved_image.append(res_node.node.metadata["file_path"]) else: display_source_node(res_node, source_length=200) retrieved_text.append(res_node.text) return retrieved_image, retrieved_text</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="add-query-now-fetch-relevant-details-including-images-and-augment-the-prompt-template">Add query now, fetch relevant details including images and augment the prompt template<a class="anchor-link" href="#add-query-now-fetch-relevant-details-including-images-and-augment-the-prompt-template">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-14"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="n">query_str</span> <span class="o">=</span> <span class="s2">"Using examples from video, explain all things covered in the video regarding the gaussian function"</span> <span class="n">img</span><span class="p">,</span> <span class="n">txt</span> <span class="o">=</span> <span class="n">retrieve</span><span class="p">(</span><span class="n">retriever_engine</span><span class="o">=</span><span class="n">retriever_engine</span><span class="p">,</span> <span class="n">query_str</span><span class="o">=</span><span class="n">query_str</span><span class="p">)</span> <span class="n">image_documents</span> <span class="o">=</span> <span class="n">SimpleDirectoryReader</span><span class="p">(</span> <span class="n">input_dir</span><span class="o">=</span><span class="n">output_folder</span><span class="p">,</span> <span class="n">input_files</span><span class="o">=</span><span class="n">img</span> <span class="p">)</span><span class="o">.</span><span class="n">load_data</span><span class="p">()</span> <span class="n">context_str</span> <span class="o">=</span> <span class="s2">""</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">txt</span><span class="p">)</span> <span class="n">plot_images</span><span class="p">(</span><span class="n">img</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-14">query_str = "Using examples from video, explain all things covered in the video regarding the gaussian function" img, txt = retrieve(retriever_engine=retriever_engine, query_str=query_str) image_documents = SimpleDirectoryReader( input_dir=output_folder, input_files=img ).load_data() context_str = "".join(txt) plot_images(img)</div> </div> </div> </div> </div> <div class="jp-Cell-outputWrapper"> <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> </div> <div class="jp-OutputArea jp-Cell-outputArea"> <div class="jp-OutputArea-child"> <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> <div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-OutputArea-output" data-mime-type="text/markdown" tabindex="0"> <p><strong>Node ID:</strong> bda08ef1-137c-4d69-9bcc-b7005a41a13c<br/><strong>Similarity:</strong> 0.7431071996688843<br/><strong>Text:</strong> The basic function underlying a normal distribution, aka a Gaussian, is e to the negative x squared. But you might wonder why this function? Of all the expressions we could dream up that give you s...<br/></p> </div> </div> <div class="jp-OutputArea-child"> <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> <div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-OutputArea-output" data-mime-type="text/markdown" tabindex="0"> <p><strong>Node ID:</strong> 7d6d0f32-ce16-461b-be54-883241252e50<br/><strong>Similarity:</strong> 0.7335695028305054<br/><strong>Text:</strong> This step is actually pretty technical, it goes a little beyond what I want to talk about here. Often use these objects called moment generating functions, that gives you a very abstract argument t...<br/></p> </div> </div> <div class="jp-OutputArea-child"> <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> <div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-OutputArea-output" data-mime-type="text/markdown" tabindex="0"> <p><strong>Node ID:</strong> 519fb788-3927-4842-ad5c-88be61deaf65<br/><strong>Similarity:</strong> 0.7069740295410156<br/><strong>Text:</strong> The essence of what we want to compute is what the convolution between two copies of this function looks like. If you remember, in the last video, we had two different ways to visualize convolution...<br/></p> </div> </div> <div class="jp-OutputArea-child"> <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> <div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-OutputArea-output" data-mime-type="text/markdown" tabindex="0"> <p><strong>Node ID:</strong> f265c3fb-3c9f-4f36-aa2a-fb15efff9783<br/><strong>Similarity:</strong> 0.706935465335846<br/><strong>Text:</strong> This is the important point. All of the stuff that's involving s is now entirely separate from the integrated variable. This remaining integral is a little bit tricky. I did a whole video on it. It...<br/></p> </div> </div> <div class="jp-OutputArea-child"> <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> <div class="jp-RenderedImage jp-OutputArea-output" tabindex="0"> <img alt="No description has been provided for this image" class="" 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</div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt"> </div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown"> <h4 id="generate-final-response-using-gpt4v">Generate final response using GPT4V<a class="anchor-link" href="#generate-final-response-using-gpt4v">¶</a></h4> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-15"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">from</span> <span class="nn">llama_index.multi_modal_llms.openai</span> <span class="kn">import</span> <span class="n">OpenAIMultiModal</span> <span class="n">openai_mm_llm</span> <span class="o">=</span> <span class="n">OpenAIMultiModal</span><span class="p">(</span> <span class="n">model</span><span class="o">=</span><span class="s2">"gpt-4o"</span><span class="p">,</span> <span class="n">api_key</span><span class="o">=</span><span class="n">OPENAI_API_KEY</span><span class="p">,</span> <span class="n">max_new_tokens</span><span class="o">=</span><span class="mi">1500</span> <span class="p">)</span> <span class="n">response_1</span> <span class="o">=</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">complete</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="n">qa_tmpl_str</span><span class="o">.</span><span class="n">format</span><span class="p">(</span> <span class="n">context_str</span><span class="o">=</span><span class="n">context_str</span><span class="p">,</span> <span class="n">query_str</span><span class="o">=</span><span class="n">query_str</span><span class="p">,</span> <span class="n">metadata_str</span><span class="o">=</span><span class="n">metadata_str</span> <span class="p">),</span> <span class="n">image_documents</span><span class="o">=</span><span class="n">image_documents</span><span class="p">,</span> <span class="p">)</span> <span class="n">pprint</span><span class="p">(</span><span class="n">response_1</span><span class="o">.</span><span class="n">text</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-15">from llama_index.multi_modal_llms.openai import OpenAIMultiModal openai_mm_llm = OpenAIMultiModal( model="gpt-4o", api_key=OPENAI_API_KEY, max_new_tokens=1500 ) response_1 = openai_mm_llm.complete( prompt=qa_tmpl_str.format( context_str=context_str, query_str=query_str, metadata_str=metadata_str ), image_documents=image_documents, ) pprint(response_1.text)</div> </div> </div> </div> </div> <div class="jp-Cell-outputWrapper"> <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> </div> <div class="jp-OutputArea jp-Cell-outputArea"> <div class="jp-OutputArea-child"> <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> <div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> <pre>('The video by 3Blue1Brown, titled "A pretty reason why Gaussian + Gaussian = ' 'Gaussian," covers several aspects of the Gaussian function, also known as ' "the normal distribution. Here's a summary of the key points discussed in the " 'video:\n' '\n' '1. **Central Limit Theorem**: The video begins by discussing the central ' 'limit theorem, which states that the sum of multiple copies of a random ' 'variable tends to look like a normal distribution. As the number of ' 'variables increases, the approximation to a normal distribution becomes ' 'better.\n' '\n' '2. **Convolution of Random Variables**: The process of adding two random ' 'variables is mathematically represented by a convolution of their respective ' 'distributions. The video explains the concept of convolution and how it is ' 'used to find the distribution of the sum of two random variables.\n' '\n' '3. **Gaussian Function**: The Gaussian function is more complex than just ' '\\( e^{-x^2} \\). The full formula includes a scaling factor to ensure the ' 'area under the curve is 1 (making it a valid probability distribution), a ' 'standard deviation parameter \\( \\sigma \\) to describe the spread, and a ' 'mean parameter \\( \\mu \\) to shift the center. However, the video focuses ' 'on centered distributions with \\( \\mu = 0 \\).\n' '\n' '4. **Visualizing Convolution**: The video presents a visual method to ' 'understand the convolution of two Gaussian functions using diagonal slices ' 'on the xy-plane. This method involves looking at the probability density of ' 'landing on a point (x, y) as \\( f(x) \\times g(y) \\), where f and g are ' 'the two distributions being convolved.\n' '\n' '5. **Rotational Symmetry**: A key property of the Gaussian function is its ' 'rotational symmetry, which is unique to bell curves. This symmetry is ' 'exploited in the video to simplify the calculation of the convolution. By ' 'rotating the graph 45 degrees, the computation becomes easier because the ' 'integral only involves one variable.\n' '\n' '6. **Result of Convolution**: The video demonstrates that the convolution of ' 'two Gaussian functions is another Gaussian function. This is a special ' 'property because convolutions typically result in a different kind of ' 'function. The standard deviation of the resulting Gaussian is \\( \\sqrt{2} ' '\\times \\sigma \\) if the original Gaussians had the same standard ' 'deviation.\n' '\n' '7. **Proof of Central Limit Theorem**: The video explains that the ' 'convolution of two Gaussians being another Gaussian is a crucial step in ' 'proving the central limit theorem. It shows that the Gaussian function is a ' 'fixed point in the space of distributions, and since all distributions with ' 'finite variance tend towards a single universal shape, that shape must be ' 'the Gaussian.\n' '\n' '8. **Connection to Pi**: The video also touches on the connection between ' 'the Gaussian function and the number Pi, which appears in the formula for ' 'the normal distribution.\n' '\n' 'The video aims to provide an intuitive geometric argument for why the sum of ' 'two normally distributed random variables is also normally distributed, and ' 'how this relates to the central limit theorem and the special properties of ' 'the Gaussian function.') </pre> </div> </div> </div> </div> </div> </div> </div>  </div>  <style> ['pre { line-height: 125%; }\ntd.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\nspan.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; 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