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Multimodal RAG for processing videos using OpenAI GPT4V and LanceDB vectorstore </span> </a> </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="../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="../ollama_cookbook/" class="md-nav__link"> <span class="md-ellipsis"> Multimodal Ollama Cookbook </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"> Multi-Modal LLM using OpenAI GPT-4V model for image reasoning </span> <span class="md-nav__icon md-icon"></span> </label> <a href="./" class="md-nav__link md-nav__link--active"> <span class="md-ellipsis"> Multi-Modal LLM using OpenAI GPT-4V model for image reasoning </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="#use-gpt4v-to-understand-images-from-urls" class="md-nav__link"> <span class="md-ellipsis"> Use GPT4V to understand Images from URLs </span> </a> </li> <li class="md-nav__item"> <a href="#initialize-and-load-images-from-urls" class="md-nav__link"> <span class="md-ellipsis"> Initialize and Load Images from URLs </span> </a> </li> <li class="md-nav__item"> <a href="#_1" class="md-nav__link"> <span class="md-ellipsis"> </span> </a> <nav class="md-nav" aria-label=""> <ul 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class="md-ellipsis"> Async Steam Complete </span> </a> </li> <li class="md-nav__item"> <a href="#async-chat" class="md-nav__link"> <span class="md-ellipsis"> Async Chat </span> </a> </li> <li class="md-nav__item"> <a href="#async-stream-chat" class="md-nav__link"> <span class="md-ellipsis"> Async stream Chat </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="#complete-with-two-images" class="md-nav__link"> <span class="md-ellipsis"> Complete with Two images </span> </a> </li> <li class="md-nav__item"> <a href="#use-gpt4v-to-understand-images-from-local-files" class="md-nav__link"> <span class="md-ellipsis"> Use GPT4V to understand images from local files </span> </a> </li> </ul> </nav> </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 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</a> </li> <li class="md-nav__item"> <a href="../../node_parsers/topic_parser/" class="md-nav__link"> <span class="md-ellipsis"> TopicNodeParser </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_23" > <label class="md-nav__link" for="__nav_4_23" id="__nav_4_23_label" tabindex="0"> <span class="md-ellipsis"> Node Postprocessors </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_23_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_23"> <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="../../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 </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 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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 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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 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aisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/anyscale/" class="md-nav__link"> <span class="md-ellipsis"> Anyscale </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/azure_inference/" class="md-nav__link"> <span class="md-ellipsis"> Azure inference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/azure_openai/" class="md-nav__link"> <span class="md-ellipsis"> Azure openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/bedrock/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/clarifai/" class="md-nav__link"> <span class="md-ellipsis"> Clarifai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/clip/" class="md-nav__link"> <span class="md-ellipsis"> Clip </span> </a> </li> <li 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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 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/voyageai/" class="md-nav__link"> <span class="md-ellipsis"> Voyageai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/xinference/" class="md-nav__link"> <span class="md-ellipsis"> Xinference </span> </a> 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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" > <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_7" id="__nav_7_7_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_7_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_7"> <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_8" > <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_8_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_8"> <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_9" > <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_9" id="__nav_7_9_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_9_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_9"> <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_10" > <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_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> 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/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/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/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_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/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/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/" class="md-nav__link"> <span class="md-ellipsis"> Solar </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/" class="md-nav__link"> <span class="md-ellipsis"> Unify </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_11" > <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_11_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_11"> <span class="md-nav__icon md-icon"></span> Llama Datasets </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_12" > <label class="md-nav__link" for="__nav_7_12" id="__nav_7_12_label" tabindex="0"> <span class="md-ellipsis"> Llama Deploy </span> <span class="md-nav__icon md-icon"></span> </label> <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 Deploy </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/apiserver/" class="md-nav__link"> <span class="md-ellipsis"> apiserver </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/control_plane/" class="md-nav__link"> <span class="md-ellipsis"> control_plane </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/deploy/" class="md-nav__link"> <span class="md-ellipsis"> deploy </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/message_consumers/" class="md-nav__link"> <span class="md-ellipsis"> message_consumers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/message_publishers/" class="md-nav__link"> <span class="md-ellipsis"> message_publishers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/messages/" class="md-nav__link"> <span class="md-ellipsis"> messages </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/orchestrators/" class="md-nav__link"> <span class="md-ellipsis"> orchestrators </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/python_sdk/" class="md-nav__link"> <span class="md-ellipsis"> Python SDK </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/services/" class="md-nav__link"> <span class="md-ellipsis"> services </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/types/" class="md-nav__link"> <span class="md-ellipsis"> types </span> </a> </li> <li 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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_17" > <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_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> 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_18" > <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_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 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/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/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_19" > <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_19_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_19"> <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_20" > <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_20" id="__nav_7_20_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_20_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_20"> <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_21" > <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_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> 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_22" > <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_22_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_22"> <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_23" > <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_23" id="__nav_7_23_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_23_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_23"> <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_24" > <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_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 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_25" > <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_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> 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_26" > <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_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> 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/azure_devops/" class="md-nav__link"> <span class="md-ellipsis"> Azure devops </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/" class="md-nav__link"> <span class="md-ellipsis"> Clickhouse </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/feishu_wiki/" class="md-nav__link"> <span class="md-ellipsis"> Feishu wiki </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/" class="md-nav__link"> <span class="md-ellipsis"> Openapi </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/" class="md-nav__link"> <span class="md-ellipsis"> Readme </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/snscrape_twitter/" class="md-nav__link"> <span class="md-ellipsis"> Snscrape twitter </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/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_metadata/" class="md-nav__link"> <span class="md-ellipsis"> Youtube metadata </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_27" > <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_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> 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_28" > <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_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> 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/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_29" > <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_29_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_29"> <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_30" > <label class="md-nav__link" for="__nav_7_30" id="__nav_7_30_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_30_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_30"> <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_31" > <label class="md-nav__link" for="__nav_7_31" id="__nav_7_31_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_31_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_31"> <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_32" > <label class="md-nav__link" for="__nav_7_32" id="__nav_7_32_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_32_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32"> <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_32_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_32_1" id="__nav_7_32_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_32_1_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32_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/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_32_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_32_2" id="__nav_7_32_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_32_2_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32_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/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> </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_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_32_3" id="__nav_7_32_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_32_3_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32_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_32_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_32_4" id="__nav_7_32_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_32_4_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32_4"> <span class="md-nav__icon md-icon"></span> Index Store </label> <ul class="md-nav__list" 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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> </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_6" > <label class="md-nav__link" for="__nav_7_32_6" id="__nav_7_32_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_32_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32_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 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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/" class="md-nav__link"> <span class="md-ellipsis"> Chatgpt plugin </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/" class="md-nav__link"> <span class="md-ellipsis"> Metal </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 class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/weaviate/" class="md-nav__link"> <span class="md-ellipsis"> Weaviate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/wordlift/" class="md-nav__link"> <span class="md-ellipsis"> Wordlift </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/zep/" class="md-nav__link"> <span class="md-ellipsis"> Zep </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_7_33" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/tools/" class="md-nav__link "> <span class="md-ellipsis"> Tools </span> </a> <label class="md-nav__link " for="__nav_7_33" id="__nav_7_33_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_33_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33"> <span class="md-nav__icon md-icon"></span> Tools </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/tools/arxiv/" class="md-nav__link"> <span class="md-ellipsis"> Arxiv </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/tools/azure_code_interpreter/" class="md-nav__link"> <span class="md-ellipsis"> Azure code interpreter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/tools/azure_cv/" class="md-nav__link"> <span class="md-ellipsis"> Azure cv </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/tools/azure_speech/" class="md-nav__link"> <span class="md-ellipsis"> Azure speech </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/tools/azure_translate/" class="md-nav__link"> <span class="md-ellipsis"> Azure translate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/tools/bing_search/" 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</li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_9" > <div class="md-nav__link md-nav__container"> <a href="../../../llama_cloud/" class="md-nav__link "> <span class="md-ellipsis"> LlamaCloud </span> </a> <label class="md-nav__link " for="__nav_9" id="__nav_9_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="1" aria-labelledby="__nav_9_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_9"> <span class="md-nav__icon md-icon"></span> LlamaCloud </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../llama_cloud/llama_parse/" class="md-nav__link"> <span class="md-ellipsis"> LlamaParse </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" > <div class="md-sidebar__scrollwrap"> <div class="md-sidebar__inner"> <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="#use-gpt4v-to-understand-images-from-urls" class="md-nav__link"> <span class="md-ellipsis"> Use GPT4V to understand Images from URLs </span> </a> </li> <li class="md-nav__item"> <a href="#initialize-and-load-images-from-urls" class="md-nav__link"> <span class="md-ellipsis"> Initialize and Load Images from URLs </span> </a> </li> <li class="md-nav__item"> <a href="#_1" class="md-nav__link"> <span class="md-ellipsis"> </span> </a> <nav class="md-nav" aria-label=""> <ul class="md-nav__list"> <li class="md-nav__item"> <a href="#complete-a-prompt-with-a-bunch-of-images" class="md-nav__link"> <span class="md-ellipsis"> Complete a prompt with a bunch of images </span> </a> </li> <li class="md-nav__item"> <a href="#steam-complete-a-prompt-with-a-bunch-of-images" class="md-nav__link"> <span class="md-ellipsis"> Steam Complete a prompt with a bunch of images </span> </a> </li> <li class="md-nav__item"> <a href="#chat-through-a-list-of-chat-messages" class="md-nav__link"> <span class="md-ellipsis"> Chat through a list of chat messages </span> </a> </li> <li class="md-nav__item"> <a href="#stream-chat-through-a-list-of-chat-messages" class="md-nav__link"> <span class="md-ellipsis"> Stream Chat through a list of chat messages </span> </a> </li> <li class="md-nav__item"> <a href="#async-complete" class="md-nav__link"> <span class="md-ellipsis"> Async Complete </span> </a> </li> <li class="md-nav__item"> <a href="#async-steam-complete" class="md-nav__link"> <span class="md-ellipsis"> Async Steam Complete </span> </a> </li> <li class="md-nav__item"> <a href="#async-chat" class="md-nav__link"> <span class="md-ellipsis"> Async Chat </span> </a> </li> <li class="md-nav__item"> <a href="#async-stream-chat" class="md-nav__link"> <span class="md-ellipsis"> Async stream Chat </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="#complete-with-two-images" class="md-nav__link"> <span class="md-ellipsis"> Complete with Two images </span> </a> </li> <li class="md-nav__item"> <a href="#use-gpt4v-to-understand-images-from-local-files" class="md-nav__link"> <span class="md-ellipsis"> Use GPT4V to understand images from local files </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 = 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} /* Literal.String.Affix */ .highlight-ipynb .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */ .highlight-ipynb .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */ .highlight-ipynb .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */ .highlight-ipynb .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */ .highlight-ipynb .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */ .highlight-ipynb .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */ .highlight-ipynb .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */ .highlight-ipynb .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */ .highlight-ipynb .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */ .highlight-ipynb .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */ 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#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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</script> <style> .jp-Mermaid:not(.jp-RenderedMermaid) { display: none; } .jp-RenderedMermaid { overflow: auto; display: flex; } .jp-RenderedMermaid.jp-mod-warning { width: auto; padding: 0.5em; margin-top: 0.5em; border: var(--jp-border-width) solid var(--jp-warn-color2); border-radius: var(--jp-border-radius); color: var(--jp-ui-font-color1); font-size: var(--jp-ui-font-size1); white-space: pre-wrap; word-wrap: break-word; } .jp-RenderedMermaid figure { margin: 0; overflow: auto; max-width: 100%; } .jp-RenderedMermaid img { max-width: 100%; } .jp-RenderedMermaid-Details > pre { margin-top: 1em; } .jp-RenderedMermaid-Summary { color: var(--jp-warn-color2); } .jp-RenderedMermaid:not(.jp-mod-warning) pre { display: none; } .jp-RenderedMermaid-Summary > pre { display: inline-block; white-space: normal; } </style> <div class="jupyter-wrapper"> <div class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light"> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=368686b4-f487-4dd4-aeff-37823976529d"> <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"> <p><a href="https://colab.research.google.com/github/run-llama/llama_index/blob/main/docs/docs/examples/multi_modal/openai_multi_modal.ipynb" target="_parent"><img alt="Open In Colab" src="https://colab.research.google.com/assets/colab-badge.svg"/></a></p> <h1 id="multi-modal-llm-using-openai-gpt-4v-model-for-image-reasoning">Multi-Modal LLM using OpenAI GPT-4V model for image reasoning<a class="anchor-link" href="#multi-modal-llm-using-openai-gpt-4v-model-for-image-reasoning">¶</a></h1><p>In this notebook, we show how to use OpenAI GPT4V MultiModal LLM class/abstraction for image understanding/reasoning.</p> <p>We also show several functions we are now supporting for OpenAI GPT4V LLM:</p> <ul> <li><code>complete</code> (both sync and async): for a single prompt and list of images</li> <li><code>chat</code> (both sync and async): for multiple chat messages</li> <li><code>stream complete</code> (both sync and async): for steaming output of complete</li> <li><code>stream chat</code> (both sync and async): for steaming output of chat</li> </ul> </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" id="cell-id=396d319e"> <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">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-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" id="cell-id=fc691ca8"> <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="err">!</span><span class="n">pip</span> <span class="n">install</span> <span class="n">openai</span> <span class="n">matplotlib</span> </pre></div> <div class="clipboard-copy-txt" id="cell-2">!pip install openai matplotlib</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4479bf64"> <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"> <h2 id="use-gpt4v-to-understand-images-from-urls">Use GPT4V to understand Images from URLs<a class="anchor-link" href="#use-gpt4v-to-understand-images-from-urls">¶</a></h2> </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" id="cell-id=5455d8c6"> <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="kn">import</span> <span class="nn">os</span> <span class="n">OPENAI_API_KEY</span> <span class="o">=</span> <span class="s2">"sk-"</span> <span class="c1"># Your OpenAI API token here</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-3">import os OPENAI_API_KEY = "sk-" # Your OpenAI API token here os.environ["OPENAI_API_KEY"] = OPENAI_API_KEY</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3d0d083e"> <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"> <h2 id="initialize-openaimultimodal-and-load-images-from-urls">Initialize <code>OpenAIMultiModal</code> and Load Images from URLs<a class="anchor-link" href="#initialize-openaimultimodal-and-load-images-from-urls">¶</a></h2> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c627c8a1"> <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"> <h2 id=""><a class="anchor-link" href="#">¶</a></h2> </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" id="cell-id=8725b6d2"> <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">llama_index.multi_modal_llms.openai</span> <span class="kn">import</span> <span class="n">OpenAIMultiModal</span> <span class="kn">from</span> <span class="nn">llama_index.core.multi_modal_llms.generic_utils</span> <span class="kn">import</span> <span class="n">load_image_urls</span> <span class="n">image_urls</span> <span class="o">=</span> <span class="p">[</span> <span class="c1"># "https://www.visualcapitalist.com/wp-content/uploads/2023/10/US_Mortgage_Rate_Surge-Sept-11-1.jpg",</span> <span class="c1"># "https://www.sportsnet.ca/wp-content/uploads/2023/11/CP1688996471-1040x572.jpg",</span> <span class="s2">"https://res.cloudinary.com/hello-tickets/image/upload/c_limit,f_auto,q_auto,w_1920/v1640835927/o3pfl41q7m5bj8jardk0.jpg"</span><span class="p">,</span> <span class="c1"># "https://www.cleverfiles.com/howto/wp-content/uploads/2018/03/minion.jpg",</span> <span class="p">]</span> <span class="n">image_documents</span> <span class="o">=</span> <span class="n">load_image_urls</span><span class="p">(</span><span class="n">image_urls</span><span class="p">)</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">300</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-4">from llama_index.multi_modal_llms.openai import OpenAIMultiModal from llama_index.core.multi_modal_llms.generic_utils import load_image_urls image_urls = [ # "https://www.visualcapitalist.com/wp-content/uploads/2023/10/US_Mortgage_Rate_Surge-Sept-11-1.jpg", # "https://www.sportsnet.ca/wp-content/uploads/2023/11/CP1688996471-1040x572.jpg", "https://res.cloudinary.com/hello-tickets/image/upload/c_limit,f_auto,q_auto,w_1920/v1640835927/o3pfl41q7m5bj8jardk0.jpg", # "https://www.cleverfiles.com/howto/wp-content/uploads/2018/03/minion.jpg", ] image_documents = load_image_urls(image_urls) openai_mm_llm = OpenAIMultiModal( model="gpt-4o", api_key=OPENAI_API_KEY, max_new_tokens=300 )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=05d94bcb"> <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">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">requests</span> <span class="kn">from</span> <span class="nn">io</span> <span class="kn">import</span> <span class="n">BytesIO</span> <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> <span class="n">img_response</span> <span class="o">=</span> <span class="n">requests</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">image_urls</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="nb">print</span><span class="p">(</span><span class="n">image_urls</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="n">img</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">BytesIO</span><span class="p">(</span><span class="n">img_response</span><span class="o">.</span><span class="n">content</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">img</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-5">from PIL import Image import requests from io import BytesIO import matplotlib.pyplot as plt img_response = requests.get(image_urls[0]) print(image_urls[0]) img = Image.open(BytesIO(img_response.content)) plt.imshow(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-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0"> <pre>https://res.cloudinary.com/hello-tickets/image/upload/c_limit,f_auto,q_auto,w_1920/v1640835927/o3pfl41q7m5bj8jardk0.jpg </pre> </div> </div> <div class="jp-OutputArea-child jp-OutputArea-executeResult"> <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[ ]:</div> <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0"> <pre><matplotlib.image.AxesImage at 0x17ef8c7d0></pre> </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" id="cell-id=fbd9c116"> <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"> <h3 id="complete-a-prompt-with-a-bunch-of-images">Complete a prompt with a bunch of images<a class="anchor-link" href="#complete-a-prompt-with-a-bunch-of-images">¶</a></h3> </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" id="cell-id=c96ab53e"> <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">complete_response</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="s2">"Describe the images as an alternative text"</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> </pre></div> <div class="clipboard-copy-txt" id="cell-6">complete_response = openai_mm_llm.complete( prompt="Describe the images as an alternative text", image_documents=image_documents, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=3eba4477"> <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="nb">print</span><span class="p">(</span><span class="n">complete_response</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-7">print(complete_response)</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 image shows the Colosseum in Rome illuminated at night with the colors of the Italian flag: green, white, and red. The ancient amphitheater's multiple arches are vividly lit, contrasting with the dark blue sky in the background. Some construction or restoration work appears to be in progress at the base of the structure, and a few people can be seen walking near the site. </pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=26ff28b6"> <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"> <h3 id="steam-complete-a-prompt-with-a-bunch-of-images">Steam Complete a prompt with a bunch of images<a class="anchor-link" href="#steam-complete-a-prompt-with-a-bunch-of-images">¶</a></h3> </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" id="cell-id=eab28aa6"> <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="n">stream_complete_response</span> <span class="o">=</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">stream_complete</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="s2">"give me more context for this image"</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> </pre></div> <div class="clipboard-copy-txt" id="cell-8">stream_complete_response = openai_mm_llm.stream_complete( prompt="give me more context for this image", image_documents=image_documents, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ae4fd47e"> <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">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">stream_complete_response</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">delta</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s2">""</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-9">for r in stream_complete_response: print(r.delta, end="")</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>This image shows the Colosseum, also known as the Flavian Amphitheatre, which is an iconic symbol of Imperial Rome and is located in the center of Rome, Italy. It is one of the world's most famous landmarks and is considered one of the greatest works of Roman architecture and engineering. The Colosseum is illuminated at night with the colors of the Italian flag: green, white, and red. This lighting could be for a special occasion or event, such as a national holiday, a cultural celebration, or in solidarity with a cause. The use of lighting to display the national colors is a way to highlight the structure's significance to Italy and its people. The Colosseum was built in the first century AD under the emperors of the Flavian dynasty and was used for gladiatorial contests and public spectacles such as mock sea battles, animal hunts, executions, re-enactments of famous battles, and dramas based on Classical mythology. It could hold between 50,000 and 80,000 spectators and was used for entertainment in the Roman Empire for over 400 years. Today, the Colosseum is a major tourist attraction, drawing millions of visitors each year. It also serves as a powerful reminder of the Roman Empire's history and its lasting influence on the world.</pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=a6cc9d04"> <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"> <h3 id="chat-through-a-list-of-chat-messages">Chat through a list of chat messages<a class="anchor-link" href="#chat-through-a-list-of-chat-messages">¶</a></h3> </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" id="cell-id=555bb503"> <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.multi_modal_llms.openai.utils</span> <span class="kn">import</span> <span class="p">(</span> <span class="n">generate_openai_multi_modal_chat_message</span><span class="p">,</span> <span class="p">)</span> <span class="n">chat_msg_1</span> <span class="o">=</span> <span class="n">generate_openai_multi_modal_chat_message</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="s2">"Describe the images as an alternative text"</span><span class="p">,</span> <span class="n">role</span><span class="o">=</span><span class="s2">"user"</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">chat_msg_2</span> <span class="o">=</span> <span class="n">generate_openai_multi_modal_chat_message</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="s2">"The image is a graph showing the surge in US mortgage rates. It is a visual representation of data, with a title at the top and labels for the x and y-axes. Unfortunately, without seeing the image, I cannot provide specific details about the data or the exact design of the graph."</span><span class="p">,</span> <span class="n">role</span><span class="o">=</span><span class="s2">"assistant"</span><span class="p">,</span> <span class="p">)</span> <span class="n">chat_msg_3</span> <span class="o">=</span> <span class="n">generate_openai_multi_modal_chat_message</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="s2">"can I know more?"</span><span class="p">,</span> <span class="n">role</span><span class="o">=</span><span class="s2">"user"</span><span class="p">,</span> <span class="p">)</span> <span class="n">chat_messages</span> <span class="o">=</span> <span class="p">[</span><span class="n">chat_msg_1</span><span class="p">,</span> <span class="n">chat_msg_2</span><span class="p">,</span> <span class="n">chat_msg_3</span><span class="p">]</span> <span class="n">chat_response</span> <span class="o">=</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">chat</span><span class="p">(</span> <span class="c1"># prompt="Describe the images as an alternative text",</span> <span class="n">messages</span><span class="o">=</span><span class="n">chat_messages</span><span class="p">,</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-10">from llama_index.multi_modal_llms.openai.utils import ( generate_openai_multi_modal_chat_message, ) chat_msg_1 = generate_openai_multi_modal_chat_message( prompt="Describe the images as an alternative text", role="user", image_documents=image_documents, ) chat_msg_2 = generate_openai_multi_modal_chat_message( prompt="The image is a graph showing the surge in US mortgage rates. It is a visual representation of data, with a title at the top and labels for the x and y-axes. Unfortunately, without seeing the image, I cannot provide specific details about the data or the exact design of the graph.", role="assistant", ) chat_msg_3 = generate_openai_multi_modal_chat_message( prompt="can I know more?", role="user", ) chat_messages = [chat_msg_1, chat_msg_2, chat_msg_3] chat_response = openai_mm_llm.chat( # prompt="Describe the images as an alternative text", messages=chat_messages, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=ebb2d936"> <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="k">for</span> <span class="n">msg</span> <span class="ow">in</span> <span class="n">chat_messages</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="n">msg</span><span class="o">.</span><span class="n">role</span><span class="p">,</span> <span class="n">msg</span><span class="o">.</span><span class="n">content</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-11">for msg in chat_messages: print(msg.role, msg.content)</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>MessageRole.USER [{'type': 'text', 'text': 'Describe the images as an alternative text'}, {'type': 'image_url', 'image_url': 'https://res.cloudinary.com/hello-tickets/image/upload/c_limit,f_auto,q_auto,w_1920/v1640835927/o3pfl41q7m5bj8jardk0.jpg'}] MessageRole.ASSISTANT The image is a graph showing the surge in US mortgage rates. It is a visual representation of data, with a title at the top and labels for the x and y-axes. Unfortunately, without seeing the image, I cannot provide specific details about the data or the exact design of the graph. MessageRole.USER can I know more? </pre> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=4c5e6c28"> <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="nb">print</span><span class="p">(</span><span class="n">chat_response</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-12">print(chat_response)</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>assistant: I apologize for the confusion earlier. The image actually shows the Colosseum in Rome, Italy, illuminated at night with the colors of the Italian flag: green, white, and red. The ancient amphitheater is captured in a twilight setting, with the sky transitioning from blue to black. The lighting accentuates the arches and the texture of the stone, creating a dramatic and colorful display. There are some people and a street visible in the foreground, with construction barriers indicating some ongoing work or preservation efforts. </pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=aa8b719f"> <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"> <h3 id="stream-chat-through-a-list-of-chat-messages">Stream Chat through a list of chat messages<a class="anchor-link" href="#stream-chat-through-a-list-of-chat-messages">¶</a></h3> </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" id="cell-id=c23d7140"> <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="n">stream_chat_response</span> <span class="o">=</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">stream_chat</span><span class="p">(</span> <span class="c1"># prompt="Describe the images as an alternative text",</span> <span class="n">messages</span><span class="o">=</span><span class="n">chat_messages</span><span class="p">,</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-13">stream_chat_response = openai_mm_llm.stream_chat( # prompt="Describe the images as an alternative text", messages=chat_messages, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=fd055085"> <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="k">for</span> <span class="n">r</span> <span class="ow">in</span> <span class="n">stream_chat_response</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="n">r</span><span class="o">.</span><span class="n">delta</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s2">""</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-14">for r in stream_chat_response: print(r.delta, end="")</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>I apologize for the confusion earlier. The image actually shows the Colosseum in Rome, Italy, illuminated at night with the colors of the Italian flag: green, white, and red. The ancient amphitheater is captured in a twilight setting, with the sky transitioning from blue to black. The lighting accentuates the arches and the texture of the stone, creating a dramatic and patriotic display. There are a few people visible at the base of the Colosseum, and some construction barriers suggest maintenance or archaeological work may be taking place.</pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3c86c542"> <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"> <h3 id="async-complete">Async Complete<a class="anchor-link" href="#async-complete">¶</a></h3> </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" id="cell-id=38e75a68"> <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="n">response_acomplete</span> <span class="o">=</span> <span class="k">await</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">acomplete</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="s2">"Describe the images as an alternative text"</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> </pre></div> <div class="clipboard-copy-txt" id="cell-15">response_acomplete = await openai_mm_llm.acomplete( prompt="Describe the images as an alternative text", image_documents=image_documents, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=1f43cffb"> <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-16"> <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="nb">print</span><span class="p">(</span><span class="n">response_acomplete</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-16">print(response_acomplete)</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 image shows the Colosseum in Rome, Italy, illuminated at night with the colors of the Italian flag: green, white, and red. The ancient amphitheater's iconic arches are vividly lit, and the structure stands out against the dark blue evening sky. A few people can be seen near the base of the Colosseum, and there is some construction fencing visible in the foreground. </pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=9c8cfeec"> <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"> <h3 id="async-steam-complete">Async Steam Complete<a class="anchor-link" href="#async-steam-complete">¶</a></h3> </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" id="cell-id=2d4c2850"> <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-17"> <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">response_astream_complete</span> <span class="o">=</span> <span class="k">await</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">astream_complete</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="s2">"Describe the images as an alternative text"</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> </pre></div> <div class="clipboard-copy-txt" id="cell-17">response_astream_complete = await openai_mm_llm.astream_complete( prompt="Describe the images as an alternative text", image_documents=image_documents, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=90b35a1d"> <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-18"> <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">async</span> <span class="k">for</span> <span class="n">delta</span> <span class="ow">in</span> <span class="n">response_astream_complete</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="n">delta</span><span class="o">.</span><span class="n">delta</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s2">""</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-18">async for delta in response_astream_complete: print(delta.delta, end="")</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 image shows the Colosseum in Rome, Italy, illuminated at night with the colors of the Italian flag: green, white, and red. The ancient amphitheater's iconic arches are vividly lit, and the structure stands out against the dark blue evening sky. Some construction or restoration work appears to be in progress at the base of the Colosseum, indicated by scaffolding and barriers. A few individuals can be seen near the structure, giving a sense of scale to the massive edifice.</pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=f1767dee"> <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"> <h3 id="async-chat">Async Chat<a class="anchor-link" href="#async-chat">¶</a></h3> </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" id="cell-id=5643b2e7"> <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-19"> <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">achat_response</span> <span class="o">=</span> <span class="k">await</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">achat</span><span class="p">(</span> <span class="n">messages</span><span class="o">=</span><span class="n">chat_messages</span><span class="p">,</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-19">achat_response = await openai_mm_llm.achat( messages=chat_messages, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=240fda11"> <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-20"> <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="nb">print</span><span class="p">(</span><span class="n">achat_response</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-20">print(achat_response)</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>assistant: I apologize for the confusion in my previous response. Let me provide you with an accurate description of the image you've provided. The image shows the Colosseum in Rome, Italy, illuminated at night with the colors of the Italian flag: green, white, and red. The ancient amphitheater is captured in a moment of twilight, with the sky transitioning from blue to black, highlighting the structure's iconic arches and the illuminated colors. There are some people and a street visible in the foreground, with construction barriers indicating some ongoing work or preservation efforts. The Colosseum's grandeur and historical significance are emphasized by the lighting and the dusk setting. </pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=4693bec3"> <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"> <h3 id="async-stream-chat">Async stream Chat<a class="anchor-link" href="#async-stream-chat">¶</a></h3> </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" id="cell-id=18fef9c6"> <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-21"> <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">astream_chat_response</span> <span class="o">=</span> <span class="k">await</span> <span class="n">openai_mm_llm</span><span class="o">.</span><span class="n">astream_chat</span><span class="p">(</span> <span class="n">messages</span><span class="o">=</span><span class="n">chat_messages</span><span class="p">,</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-21">astream_chat_response = await openai_mm_llm.astream_chat( messages=chat_messages, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=09a99f75"> <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-22"> <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">async</span> <span class="k">for</span> <span class="n">delta</span> <span class="ow">in</span> <span class="n">astream_chat_response</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span><span class="n">delta</span><span class="o">.</span><span class="n">delta</span><span class="p">,</span> <span class="n">end</span><span class="o">=</span><span class="s2">""</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-22">async for delta in astream_chat_response: print(delta.delta, end="")</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>I apologize for the confusion in my previous response. The image actually depicts the Colosseum in Rome, Italy, illuminated at night with the colors of the Italian flag: green, white, and red. The ancient amphitheater is shown with its iconic arched openings, and the lighting accentuates its grandeur against the evening sky. There are a few people and some construction barriers visible at the base, indicating ongoing preservation efforts or public works.</pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=0096fb75"> <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"> <h2 id="complete-with-two-images">Complete with Two images<a class="anchor-link" href="#complete-with-two-images">¶</a></h2> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=0a73aac2"> <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-23"> <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">image_urls</span> <span class="o">=</span> <span class="p">[</span> <span class="s2">"https://www.visualcapitalist.com/wp-content/uploads/2023/10/US_Mortgage_Rate_Surge-Sept-11-1.jpg"</span><span class="p">,</span> <span class="s2">"https://www.sportsnet.ca/wp-content/uploads/2023/11/CP1688996471-1040x572.jpg"</span><span class="p">,</span> <span class="c1"># "https://res.cloudinary.com/hello-tickets/image/upload/c_limit,f_auto,q_auto,w_1920/v1640835927/o3pfl41q7m5bj8jardk0.jpg",</span> <span class="c1"># "https://www.cleverfiles.com/howto/wp-content/uploads/2018/03/minion.jpg",</span> <span class="p">]</span> <span class="n">image_documents_1</span> <span class="o">=</span> <span class="n">load_image_urls</span><span class="p">(</span><span class="n">image_urls</span><span class="p">)</span> <span class="n">response_multi</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="s2">"is there any relationship between those images?"</span><span class="p">,</span> <span class="n">image_documents</span><span class="o">=</span><span class="n">image_documents_1</span><span class="p">,</span> <span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="n">response_multi</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-23">image_urls = [ "https://www.visualcapitalist.com/wp-content/uploads/2023/10/US_Mortgage_Rate_Surge-Sept-11-1.jpg", "https://www.sportsnet.ca/wp-content/uploads/2023/11/CP1688996471-1040x572.jpg", # "https://res.cloudinary.com/hello-tickets/image/upload/c_limit,f_auto,q_auto,w_1920/v1640835927/o3pfl41q7m5bj8jardk0.jpg", # "https://www.cleverfiles.com/howto/wp-content/uploads/2018/03/minion.jpg", ] image_documents_1 = load_image_urls(image_urls) response_multi = openai_mm_llm.complete( prompt="is there any relationship between those images?", image_documents=image_documents_1, ) print(response_multi)</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>No, there is no direct relationship between these two images. The first image is an infographic showing the surge in U.S. mortgage rates and its comparison with existing home sales, indicating economic data. The second image is of a person holding a trophy, which seems to be related to a sports achievement or recognition. The content of the two images pertains to entirely different subjects—one is focused on economic information, while the other is related to an individual's achievement in a likely sporting context. </pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=c8738293"> <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"> <h2 id="use-gpt4v-to-understand-images-from-local-files">Use GPT4V to understand images from local files<a class="anchor-link" href="#use-gpt4v-to-understand-images-from-local-files">¶</a></h2> </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" id="cell-id=5e91ec1b"> <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-24"> <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</span> <span class="kn">import</span> <span class="n">SimpleDirectoryReader</span> <span class="c1"># put your local directore here</span> <span class="n">image_documents</span> <span class="o">=</span> <span class="n">SimpleDirectoryReader</span><span class="p">(</span><span class="s2">"./images_wiki"</span><span class="p">)</span><span class="o">.</span><span class="n">load_data</span><span class="p">()</span> <span class="n">response</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="s2">"Describe the images as an alternative text"</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> </pre></div> <div class="clipboard-copy-txt" id="cell-24">from llama_index.core import SimpleDirectoryReader # put your local directore here image_documents = SimpleDirectoryReader("./images_wiki").load_data() response = openai_mm_llm.complete( prompt="Describe the images as an alternative text", image_documents=image_documents, )</div> </div> </div> </div> </div> </div> </div><div class="jp-Cell jp-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=81ea0281"> <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-25"> <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="n">img</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="s2">"./images_wiki/3.jpg"</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">img</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-25">from PIL import Image import matplotlib.pyplot as plt img = Image.open("./images_wiki/3.jpg") plt.imshow(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 jp-OutputArea-executeResult"> <div class="jp-OutputPrompt jp-OutputArea-prompt">Out[ ]:</div> <div class="jp-RenderedText jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/plain" tabindex="0"> <pre><matplotlib.image.AxesImage at 0x297eec110></pre> </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-CodeCell jp-Notebook-cell"> <div class="jp-Cell jp-CodeCell jp-Notebook-cell" id="cell-id=073b08b9"> <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-26"> <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="nb">print</span><span class="p">(</span><span class="n">response</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-26">print(response)</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>You are looking at a close-up image of a glass Coca-Cola bottle. The label on the bottle features the iconic Coca-Cola logo with additional text underneath it commemorating the 2002 FIFA World Cup hosted by Korea/Japan. The label also indicates that the bottle contains 250 ml of the product. In the background with a shallow depth of field, you can see the blurred image of another Coca-Cola bottle, emphasizing the focus on the one in the foreground. 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