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class="md-nav__link md-nav__link--active" for="__toc"> <span class="md-ellipsis"> Multi-Modal LLM using Replicate LlaVa, Fuyu 8B, MiniGPT4 models 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 Replicate LlaVa, Fuyu 8B, MiniGPT4 models 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="#load-and-initialize-replicate" class="md-nav__link"> <span class="md-ellipsis"> Load and initialize Replicate </span> </a> </li> <li class="md-nav__item"> <a href="#download-images-and-load-images-locally" class="md-nav__link"> <span class="md-ellipsis"> Download Images and Load Images locally </span> </a> 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class="md-nav__item"> <a href="#using-async-stream-complete" class="md-nav__link"> <span class="md-ellipsis"> Using async stream complete </span> </a> </li> <li class="md-nav__item"> <a href="#using-async-complete" class="md-nav__link"> <span class="md-ellipsis"> Using async complete </span> </a> </li> <li class="md-nav__item"> <a href="#using-stream-complete" class="md-nav__link"> <span class="md-ellipsis"> Using stream complete </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="../structured_image_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Semi-structured Image Retrieval </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_21" > <label class="md-nav__link" for="__nav_4_21" id="__nav_4_21_label" tabindex="0"> <span class="md-ellipsis"> Multi-Tenancy </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" 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data-md-scrollfix> <li class="md-nav__item"> <a href="../../node_parsers/semantic_chunking/" class="md-nav__link"> <span class="md-ellipsis"> Semantic Chunker </span> </a> </li> <li class="md-nav__item"> <a href="../../node_parsers/semantic_double_merging_chunking/" class="md-nav__link"> <span class="md-ellipsis"> Semantic double merging chunking </span> </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 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class="md-nav__item"> <a href="../../node_postprocessor/JinaRerank/" class="md-nav__link"> <span class="md-ellipsis"> Jina Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/LLMReranker-Gatsby/" class="md-nav__link"> <span class="md-ellipsis"> LLM Reranker Demonstration (Great Gatsby) </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/LLMReranker-Lyft-10k/" class="md-nav__link"> <span class="md-ellipsis"> LLM Reranker Demonstration (2021 Lyft 10-k) </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/LongContextReorder/" class="md-nav__link"> <span class="md-ellipsis"> LongContextReorder </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/MetadataReplacementDemo/" class="md-nav__link"> <span class="md-ellipsis"> Metadata Replacement + Node Sentence Window </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/MixedbreadAIRerank/" class="md-nav__link"> <span class="md-ellipsis"> Mixedbread AI Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/NVIDIARerank/" class="md-nav__link"> <span class="md-ellipsis"> NVIDIA NIMs </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/OptimizerDemo/" class="md-nav__link"> <span class="md-ellipsis"> Sentence Embedding Optimizer </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/PII/" class="md-nav__link"> <span class="md-ellipsis"> PII Masking </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/PrevNextPostprocessorDemo/" class="md-nav__link"> <span class="md-ellipsis"> Forward/Backward Augmentation </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/RecencyPostprocessorDemo/" class="md-nav__link"> <span class="md-ellipsis"> Recency Filtering </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/SentenceTransformerRerank/" class="md-nav__link"> <span class="md-ellipsis"> SentenceTransformerRerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/TimeWeightedPostprocessorDemo/" class="md-nav__link"> <span class="md-ellipsis"> Time-Weighted Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/VoyageAIRerank/" class="md-nav__link"> <span class="md-ellipsis"> VoyageAI Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/openvino_rerank/" class="md-nav__link"> <span class="md-ellipsis"> OpenVINO Rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/rankGPT/" class="md-nav__link"> <span class="md-ellipsis"> RankGPT Reranker Demonstration (Van Gogh Wiki) </span> </a> </li> <li class="md-nav__item"> <a href="../../node_postprocessor/rankLLM/" class="md-nav__link"> <span class="md-ellipsis"> RankLLM Reranker Demonstration (Van Gogh Wiki) </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_24" > <label class="md-nav__link" for="__nav_4_24" id="__nav_4_24_label" tabindex="0"> <span class="md-ellipsis"> Object Stores </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_24_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_24"> <span class="md-nav__icon md-icon"></span> Object Stores </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../objects/object_index/" class="md-nav__link"> <span class="md-ellipsis"> The Class </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_25" > <label class="md-nav__link" for="__nav_4_25" id="__nav_4_25_label" tabindex="0"> <span class="md-ellipsis"> Observability </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_25_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_25"> <span class="md-nav__icon md-icon"></span> Observability </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../observability/AimCallback/" class="md-nav__link"> <span class="md-ellipsis"> Aim Callback </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/HoneyHiveLlamaIndexTracer/" class="md-nav__link"> <span class="md-ellipsis"> HoneyHive LlamaIndex Tracer </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/LangfuseCallbackHandler/" class="md-nav__link"> <span class="md-ellipsis"> Langfuse Callback Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/LangfuseMistralPostHog/" class="md-nav__link"> <span class="md-ellipsis"> Analyze and Debug LlamaIndex Applications with PostHog and Langfuse </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/LlamaDebugHandler/" class="md-nav__link"> <span class="md-ellipsis"> Llama Debug Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/MLflow/" class="md-nav__link"> <span class="md-ellipsis"> MLflow Tracing and E2E Integration with LlamaIndex </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/OpenInferenceCallback/" class="md-nav__link"> <span class="md-ellipsis"> OpenInference Callback Handler + Arize Phoenix </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/OpenLLMetry/" class="md-nav__link"> <span class="md-ellipsis"> Observability with OpenLLMetry </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/OpikCallback/" class="md-nav__link"> <span class="md-ellipsis"> Logging traces with Opik </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/PromptLayerHandler/" class="md-nav__link"> <span class="md-ellipsis"> PromptLayer Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/TokenCountingHandler/" class="md-nav__link"> <span class="md-ellipsis"> Token Counting Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/UpTrainCallback/" class="md-nav__link"> <span class="md-ellipsis"> UpTrain Callback Handler </span> </a> </li> <li class="md-nav__item"> <a href="../../observability/WandbCallbackHandler/" class="md-nav__link"> <span class="md-ellipsis"> Wandb Callback Handler </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_26" > <label class="md-nav__link" for="__nav_4_26" id="__nav_4_26_label" tabindex="0"> <span class="md-ellipsis"> Output Parsers </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_26_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_26"> <span class="md-nav__icon md-icon"></span> Output Parsers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../output_parsing/GuardrailsDemo/" class="md-nav__link"> <span class="md-ellipsis"> Guardrails Output Parsing </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/LangchainOutputParserDemo/" class="md-nav__link"> <span class="md-ellipsis"> Langchain Output Parsing </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/df_program/" class="md-nav__link"> <span class="md-ellipsis"> DataFrame Structured Data Extraction </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/evaporate_program/" class="md-nav__link"> <span class="md-ellipsis"> Evaporate Demo </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/function_program/" class="md-nav__link"> <span class="md-ellipsis"> Function Calling Program for Structured Extraction </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/guidance_pydantic_program/" class="md-nav__link"> <span class="md-ellipsis"> Guidance Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/guidance_sub_question/" class="md-nav__link"> <span class="md-ellipsis"> Guidance for Sub-Question Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/llm_program/" class="md-nav__link"> <span class="md-ellipsis"> LLM Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/lmformatenforcer_pydantic_program/" class="md-nav__link"> <span class="md-ellipsis"> LM Format Enforcer Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/lmformatenforcer_regular_expressions/" class="md-nav__link"> <span class="md-ellipsis"> LM Format Enforcer Regular Expression Generation </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/nvidia_output_parsing/" class="md-nav__link"> <span class="md-ellipsis"> LLM Pydantic Program - NVIDIA </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/openai_pydantic_program/" class="md-nav__link"> <span class="md-ellipsis"> OpenAI Pydantic Program </span> </a> </li> <li class="md-nav__item"> <a href="../../output_parsing/openai_sub_question/" class="md-nav__link"> <span class="md-ellipsis"> OpenAI function calling for Sub-Question Query Engine </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_27" > <label class="md-nav__link" for="__nav_4_27" id="__nav_4_27_label" tabindex="0"> <span class="md-ellipsis"> Param Optimizer </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_27_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_27"> <span class="md-nav__icon md-icon"></span> Param Optimizer </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../param_optimizer/param_optimizer/" class="md-nav__link"> <span class="md-ellipsis"> [WIP] Hyperparameter Optimization for RAG </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_28" > <label class="md-nav__link" for="__nav_4_28" id="__nav_4_28_label" tabindex="0"> <span class="md-ellipsis"> Prompts </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_28_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_28"> <span class="md-nav__icon md-icon"></span> Prompts </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../prompts/advanced_prompts/" class="md-nav__link"> <span class="md-ellipsis"> Advanced Prompt Techniques (Variable Mappings, Functions) </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/emotion_prompt/" class="md-nav__link"> <span class="md-ellipsis"> EmotionPrompt in RAG </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/prompt_mixin/" class="md-nav__link"> <span class="md-ellipsis"> Accessing/Customizing Prompts within Higher-Level Modules </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/prompt_optimization/" class="md-nav__link"> <span class="md-ellipsis"> "Optimization by Prompting" for RAG </span> </a> </li> <li class="md-nav__item"> <a href="../../prompts/prompts_rag/" class="md-nav__link"> <span class="md-ellipsis"> Prompt Engineering for RAG </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_29" > <label class="md-nav__link" for="__nav_4_29" id="__nav_4_29_label" tabindex="0"> <span class="md-ellipsis"> Property Graph </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_29_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_29"> <span class="md-nav__icon md-icon"></span> Property Graph </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../property_graph/graph_store/" class="md-nav__link"> <span class="md-ellipsis"> Using a Property Graph Store </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_advanced/" class="md-nav__link"> <span class="md-ellipsis"> Property Graph Construction with Predefined Schemas </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_basic/" class="md-nav__link"> <span class="md-ellipsis"> Property Graph Index </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_custom_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Defining a Custom Property Graph Retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_memgraph/" class="md-nav__link"> <span class="md-ellipsis"> Memgraph Property Graph Index </span> </a> </li> <li class="md-nav__item"> <a href="../../property_graph/property_graph_neo4j/" class="md-nav__link"> <span class="md-ellipsis"> Neo4j Property Graph Index </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_30" > <label class="md-nav__link" for="__nav_4_30" id="__nav_4_30_label" tabindex="0"> <span class="md-ellipsis"> Query Engines </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_30_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_30"> <span class="md-nav__icon md-icon"></span> Query Engines </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../query_engine/CustomRetrievers/" class="md-nav__link"> <span class="md-ellipsis"> Retriever Query Engine with Custom Retrievers - Simple Hybrid Search </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/JSONalyze_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> JSONalyze Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/JointQASummary/" class="md-nav__link"> <span class="md-ellipsis"> Joint QA Summary Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/RetrieverRouterQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> Retriever Router Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/RouterQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> Router Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/SQLAutoVectorQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> SQL Auto Vector Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/SQLJoinQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> SQL Join Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/SQLRouterQueryEngine/" class="md-nav__link"> <span class="md-ellipsis"> SQL Router Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/citation_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> CitationQueryEngine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/cogniswitch_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Cogniswitch query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/custom_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Defining a Custom Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/ensemble_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Ensemble Query Engine Guide </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/flare_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> FLARE Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/json_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> JSON Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/knowledge_graph_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge Graph Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/knowledge_graph_rag_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge Graph RAG Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/multi_doc_auto_retrieval/multi_doc_auto_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Structured Hierarchical Retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pandas_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Pandas Query Engine </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pdf_tables/recursive_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Recursive Retriever + Query Engine Demo </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pgvector_sql_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> [Beta] Text-to-SQL with PGVector </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/pydantic_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Query Engine with Pydantic Outputs </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/recursive_retriever_agents/" class="md-nav__link"> <span class="md-ellipsis"> Recursive Retriever + Document Agents </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/sec_tables/tesla_10q_table/" class="md-nav__link"> <span class="md-ellipsis"> Joint Tabular/Semantic QA over Tesla 10K </span> </a> </li> <li class="md-nav__item"> <a href="../../query_engine/sub_question_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Sub Question Query Engine </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_4_31" > <label class="md-nav__link" for="__nav_4_31" id="__nav_4_31_label" tabindex="0"> <span class="md-ellipsis"> Query Pipeline </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_4_31_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_4_31"> <span class="md-nav__icon md-icon"></span> Query Pipeline </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a 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Modules </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_7_6" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/querying/response_synthesizers/" class="md-nav__link "> <span class="md-ellipsis"> Response Synthesis </span> </a> <label class="md-nav__link " for="__nav_5_7_6" id="__nav_5_7_6_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_5_7_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_7_6"> <span class="md-nav__icon md-icon"></span> Response Synthesis </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/querying/response_synthesizers/response_synthesizers/" class="md-nav__link"> <span class="md-ellipsis"> Response Synthesis Modules </span> </a> </li> </ul> </nav> </li> <li 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data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/querying/pipeline/usage_pattern/" class="md-nav__link"> <span class="md-ellipsis"> Usage Pattern </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/querying/pipeline/modules/" class="md-nav__link"> <span class="md-ellipsis"> Module Guides </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/querying/pipeline/module_usage/" class="md-nav__link"> <span class="md-ellipsis"> Module Usage </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_7_10" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/querying/structured_outputs/" class="md-nav__link "> <span class="md-ellipsis"> Structured Outputs </span> </a> <label class="md-nav__link " for="__nav_5_7_10" id="__nav_5_7_10_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_5_7_10_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_7_10"> <span 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 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class="md-nav__link"> <span class="md-ellipsis"> Evaluating With LabelledRagDataset's </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/evaluating/evaluating_evaluators_with_llamadatasets/" class="md-nav__link"> <span class="md-ellipsis"> Evaluating Evaluators with LabelledEvaluatorDataset's </span> </a> </li> </ul> </nav> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_11" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/observability/" class="md-nav__link "> <span class="md-ellipsis"> Observability </span> </a> <label class="md-nav__link " for="__nav_5_11" id="__nav_5_11_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_11_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_11"> <span class="md-nav__icon md-icon"></span> Observability </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/observability/instrumentation/" class="md-nav__link"> <span class="md-ellipsis"> Instrumentation </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item"> <a href="../../../module_guides/supporting_modules/settings/" class="md-nav__link"> <span class="md-ellipsis"> Settings </span> </a> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_5_13" > <div class="md-nav__link md-nav__container"> <a href="../../../module_guides/llama_deploy/" class="md-nav__link "> <span class="md-ellipsis"> Llama Deploy </span> </a> <label class="md-nav__link " for="__nav_5_13" id="__nav_5_13_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_5_13_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_5_13"> <span class="md-nav__icon md-icon"></span> Llama Deploy </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/10_getting_started/" class="md-nav__link"> <span class="md-ellipsis"> Getting Started </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/20_core_components/" class="md-nav__link"> <span class="md-ellipsis"> Core Components </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/30_manual_orchestration/" class="md-nav__link"> <span class="md-ellipsis"> Manual orchestration </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/40_python_sdk/" class="md-nav__link"> <span class="md-ellipsis"> Python SDK </span> </a> </li> <li class="md-nav__item"> <a href="../../../module_guides/llama_deploy/50_llamactl/" class="md-nav__link"> <span class="md-ellipsis"> CLI </span> </a> </li> </ul> </nav> </li> </ul> 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class="md-nav__link"> <span class="md-ellipsis"> Gigachat </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/gradient.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/huggingface/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/huggingface_api/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface api </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/huggingface_openvino/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface openvino </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/huggingface_optimum/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface optimum </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/huggingface_optimum_intel/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface optimum intel </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/ibm/" class="md-nav__link"> <span class="md-ellipsis"> Ibm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/instructor/" class="md-nav__link"> <span class="md-ellipsis"> Instructor </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/ipex_llm/" class="md-nav__link"> <span class="md-ellipsis"> Ipex llm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/jinaai/" class="md-nav__link"> <span class="md-ellipsis"> Jinaai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/langchain/" class="md-nav__link"> <span class="md-ellipsis"> Langchain </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/litellm/" class="md-nav__link"> <span class="md-ellipsis"> Litellm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/llamafile/" class="md-nav__link"> <span class="md-ellipsis"> Llamafile </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/llm_rails/" class="md-nav__link"> <span class="md-ellipsis"> Llm rails </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/mistralai/" class="md-nav__link"> <span class="md-ellipsis"> Mistralai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/mixedbreadai/" class="md-nav__link"> <span class="md-ellipsis"> Mixedbreadai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/modelscope/" class="md-nav__link"> <span class="md-ellipsis"> Modelscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/nebius/" class="md-nav__link"> <span class="md-ellipsis"> Nebius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/nomic/" class="md-nav__link"> <span class="md-ellipsis"> Nomic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/nvidia/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/oci_data_science/" class="md-nav__link"> <span class="md-ellipsis"> Oci data science </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/oci_genai/" class="md-nav__link"> <span class="md-ellipsis"> Oci genai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/octoai.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/ollama/" class="md-nav__link"> <span class="md-ellipsis"> Ollama </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/opea/" class="md-nav__link"> <span class="md-ellipsis"> Opea </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/oracleai/" class="md-nav__link"> <span class="md-ellipsis"> Oracleai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/premai/" class="md-nav__link"> <span class="md-ellipsis"> Premai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/sagemaker_endpoint/" class="md-nav__link"> <span class="md-ellipsis"> Sagemaker endpoint </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/siliconflow/" class="md-nav__link"> <span class="md-ellipsis"> Siliconflow </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/text_embeddings_inference/" class="md-nav__link"> <span class="md-ellipsis"> Text embeddings inference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/textembed/" class="md-nav__link"> <span class="md-ellipsis"> Textembed </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/together/" class="md-nav__link"> <span class="md-ellipsis"> Together </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/upstage/" class="md-nav__link"> <span class="md-ellipsis"> Upstage </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/vertex/" class="md-nav__link"> <span class="md-ellipsis"> Vertex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/vertex_endpoint/" class="md-nav__link"> <span class="md-ellipsis"> Vertex endpoint </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/vllm/" class="md-nav__link"> <span class="md-ellipsis"> Vllm </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> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/yandexgpt/" class="md-nav__link"> <span class="md-ellipsis"> Yandexgpt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/embeddings/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_6" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/evaluation/" class="md-nav__link "> <span class="md-ellipsis"> Evaluation </span> </a> <label class="md-nav__link " for="__nav_7_6" id="__nav_7_6_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_6"> <span class="md-nav__icon md-icon"></span> Evaluation </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/answer_relevancy/" class="md-nav__link"> <span class="md-ellipsis"> Answer relevancy </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/context_relevancy/" class="md-nav__link"> <span class="md-ellipsis"> Context relevancy </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/correctness/" class="md-nav__link"> <span class="md-ellipsis"> Correctness </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/dataset_generation/" class="md-nav__link"> <span class="md-ellipsis"> Dataset generation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/faithfullness/" class="md-nav__link"> <span class="md-ellipsis"> Faithfullness </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/guideline/" class="md-nav__link"> <span class="md-ellipsis"> Guideline </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/metrics/" class="md-nav__link"> <span class="md-ellipsis"> Metrics </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/pairwise_comparison/" class="md-nav__link"> <span class="md-ellipsis"> Pairwise comparison </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/query_response/" class="md-nav__link"> <span class="md-ellipsis"> Query response </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/response/" class="md-nav__link"> <span class="md-ellipsis"> Response </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/semantic_similarity/" class="md-nav__link"> <span class="md-ellipsis"> Semantic similarity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/evaluation/tonic_validate/" class="md-nav__link"> <span class="md-ellipsis"> Tonic validate </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_7" > <label class="md-nav__link" for="__nav_7_7" id="__nav_7_7_label" tabindex="0"> <span class="md-ellipsis"> Graph RAG </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_7_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_7"> <span class="md-nav__icon md-icon"></span> Graph RAG </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/graph_rag/cognee/" class="md-nav__link"> <span class="md-ellipsis"> Cognee </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_8" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/indices/" class="md-nav__link "> <span class="md-ellipsis"> Indexes </span> </a> <label class="md-nav__link " for="__nav_7_8" id="__nav_7_8_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_8_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_8"> <span class="md-nav__icon md-icon"></span> Indexes </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/indices/bge_m3/" class="md-nav__link"> <span class="md-ellipsis"> Bge m3 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/colbert/" class="md-nav__link"> <span class="md-ellipsis"> Colbert </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/document_summary/" class="md-nav__link"> <span class="md-ellipsis"> Document summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/knowledge_graph/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/llama_cloud/" class="md-nav__link"> <span class="md-ellipsis"> Llama cloud </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/postgresml/" class="md-nav__link"> <span class="md-ellipsis"> Postgresml </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/property_graph/" class="md-nav__link"> <span class="md-ellipsis"> Property graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/summary/" class="md-nav__link"> <span class="md-ellipsis"> Summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/tree/" class="md-nav__link"> <span class="md-ellipsis"> Tree </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/vectara/" class="md-nav__link"> <span class="md-ellipsis"> Vectara </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/vector/" class="md-nav__link"> <span class="md-ellipsis"> Vector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/vertexai/" class="md-nav__link"> <span class="md-ellipsis"> Vertexai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/indices/zilliz/" class="md-nav__link"> <span class="md-ellipsis"> Zilliz </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_9" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/ingestion/" class="md-nav__link "> <span class="md-ellipsis"> Ingestion </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_9_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_9"> <span class="md-nav__icon md-icon"></span> Ingestion </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_10" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/instrumentation/" class="md-nav__link "> <span class="md-ellipsis"> Instrumentation </span> </a> <label class="md-nav__link " for="__nav_7_10" id="__nav_7_10_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_10_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_10"> <span class="md-nav__icon md-icon"></span> Instrumentation </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/event_handlers/" class="md-nav__link"> <span class="md-ellipsis"> Event handlers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/event_types/" class="md-nav__link"> <span class="md-ellipsis"> Event types </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/span_handlers/" class="md-nav__link"> <span class="md-ellipsis"> Span handlers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/instrumentation/span_types/" class="md-nav__link"> <span class="md-ellipsis"> Span types </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_11" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/llms/" class="md-nav__link "> <span class="md-ellipsis"> LLMs </span> </a> <label class="md-nav__link " for="__nav_7_11" id="__nav_7_11_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_11_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_11"> <span class="md-nav__icon md-icon"></span> LLMs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/llms/OptimumIntelLLM.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ai21/" class="md-nav__link"> <span class="md-ellipsis"> Ai21 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/alephalpha/" class="md-nav__link"> <span class="md-ellipsis"> Alephalpha </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/alibabacloud_aisearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/anthropic/" class="md-nav__link"> <span class="md-ellipsis"> Anthropic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/anyscale/" class="md-nav__link"> <span class="md-ellipsis"> Anyscale </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/azure_inference/" class="md-nav__link"> <span class="md-ellipsis"> Azure inference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/azure_openai/" class="md-nav__link"> <span class="md-ellipsis"> Azure openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/bedrock/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/bedrock_converse/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock converse </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cerebras/" class="md-nav__link"> <span class="md-ellipsis"> Cerebras </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/clarifai/" class="md-nav__link"> <span class="md-ellipsis"> Clarifai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cleanlab/" class="md-nav__link"> <span class="md-ellipsis"> Cleanlab </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cohere/" class="md-nav__link"> <span class="md-ellipsis"> Cohere </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/cortex/" class="md-nav__link"> <span class="md-ellipsis"> Cortex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/custom_llm/" class="md-nav__link"> <span class="md-ellipsis"> Custom llm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/databricks/" class="md-nav__link"> <span class="md-ellipsis"> Databricks </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/deepinfra/" class="md-nav__link"> <span class="md-ellipsis"> Deepinfra </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/deepseek/" class="md-nav__link"> <span class="md-ellipsis"> Deepseek </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/everlyai/" class="md-nav__link"> <span class="md-ellipsis"> Everlyai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/fireworks/" class="md-nav__link"> <span class="md-ellipsis"> Fireworks </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/friendli/" class="md-nav__link"> <span class="md-ellipsis"> Friendli </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gaudi/" class="md-nav__link"> <span class="md-ellipsis"> Gaudi </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gemini/" class="md-nav__link"> <span class="md-ellipsis"> Gemini </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gigachat/" class="md-nav__link"> <span class="md-ellipsis"> Gigachat </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/gradient.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/groq/" class="md-nav__link"> <span class="md-ellipsis"> Groq </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/huggingface/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/huggingface_api/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface api </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ibm/" class="md-nav__link"> <span class="md-ellipsis"> Ibm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ipex_llm/" class="md-nav__link"> <span class="md-ellipsis"> Ipex llm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/keywordsai/" class="md-nav__link"> <span class="md-ellipsis"> Keywordsai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/konko/" class="md-nav__link"> <span class="md-ellipsis"> Konko </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/langchain/" class="md-nav__link"> <span class="md-ellipsis"> Langchain </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/litellm/" class="md-nav__link"> <span class="md-ellipsis"> Litellm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/llama_api/" class="md-nav__link"> <span class="md-ellipsis"> Llama api </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/llama_cpp/" class="md-nav__link"> <span class="md-ellipsis"> Llama cpp </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/llamafile/" class="md-nav__link"> <span class="md-ellipsis"> Llamafile </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/lmstudio/" class="md-nav__link"> <span class="md-ellipsis"> Lmstudio </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/localai/" class="md-nav__link"> <span class="md-ellipsis"> Localai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/maritalk/" class="md-nav__link"> <span class="md-ellipsis"> Maritalk </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mistral_rs/" class="md-nav__link"> <span class="md-ellipsis"> Mistral rs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mistralai/" class="md-nav__link"> <span class="md-ellipsis"> Mistralai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mlx/" class="md-nav__link"> <span class="md-ellipsis"> Mlx </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/modelscope/" class="md-nav__link"> <span class="md-ellipsis"> Modelscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/monsterapi/" class="md-nav__link"> <span class="md-ellipsis"> Monsterapi </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/mymagic/" class="md-nav__link"> <span class="md-ellipsis"> Mymagic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nebius/" class="md-nav__link"> <span class="md-ellipsis"> Nebius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/neutrino/" class="md-nav__link"> <span class="md-ellipsis"> Neutrino </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nvidia/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nvidia_tensorrt/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia tensorrt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/nvidia_triton/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia triton </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/oci_data_science/" class="md-nav__link"> <span class="md-ellipsis"> Oci data science </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/oci_genai/" class="md-nav__link"> <span class="md-ellipsis"> Oci genai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/octoai/" class="md-nav__link"> <span class="md-ellipsis"> Octoai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/ollama/" class="md-nav__link"> <span class="md-ellipsis"> Ollama </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/opea/" class="md-nav__link"> <span class="md-ellipsis"> Opea </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openai_like/" class="md-nav__link"> <span class="md-ellipsis"> Openai like </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openllm/" class="md-nav__link"> <span class="md-ellipsis"> Openllm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openrouter/" class="md-nav__link"> <span class="md-ellipsis"> Openrouter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openvino/" class="md-nav__link"> <span class="md-ellipsis"> Openvino </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/openvino_genai/" class="md-nav__link"> <span class="md-ellipsis"> Openvino genai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/optimum_intel/" class="md-nav__link"> <span class="md-ellipsis"> Optimum intel </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/paieas/" class="md-nav__link"> <span class="md-ellipsis"> Paieas </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/palm/" class="md-nav__link"> <span class="md-ellipsis"> Palm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/perplexity/" class="md-nav__link"> <span class="md-ellipsis"> Perplexity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/pipeshift/" class="md-nav__link"> <span class="md-ellipsis"> Pipeshift </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/portkey/" class="md-nav__link"> <span class="md-ellipsis"> Portkey </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/predibase/" class="md-nav__link"> <span class="md-ellipsis"> Predibase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/premai/" class="md-nav__link"> <span class="md-ellipsis"> Premai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/qianfan/" class="md-nav__link"> <span class="md-ellipsis"> Qianfan </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/reka/" class="md-nav__link"> <span class="md-ellipsis"> Reka </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/replicate/" class="md-nav__link"> <span class="md-ellipsis"> Replicate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/rungpt/" class="md-nav__link"> <span class="md-ellipsis"> Rungpt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/sagemaker_endpoint/" class="md-nav__link"> <span class="md-ellipsis"> Sagemaker endpoint </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/sambanovasystems/" class="md-nav__link"> <span class="md-ellipsis"> Sambanovasystems </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/siliconflow/" class="md-nav__link"> <span class="md-ellipsis"> Siliconflow </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/solar.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/stepfun/" class="md-nav__link"> <span class="md-ellipsis"> Stepfun </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/text_generation_inference/" class="md-nav__link"> <span class="md-ellipsis"> Text generation inference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/together/" class="md-nav__link"> <span class="md-ellipsis"> Together </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/unify.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/upstage/" class="md-nav__link"> <span class="md-ellipsis"> Upstage </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/vertex/" class="md-nav__link"> <span class="md-ellipsis"> Vertex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/vllm/" class="md-nav__link"> <span class="md-ellipsis"> Vllm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/xinference/" class="md-nav__link"> <span class="md-ellipsis"> Xinference </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/yi/" class="md-nav__link"> <span class="md-ellipsis"> Yi </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/you/" class="md-nav__link"> <span class="md-ellipsis"> You </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llms/zhipuai/" class="md-nav__link"> <span class="md-ellipsis"> Zhipuai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_12" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/llama_dataset/" class="md-nav__link "> <span class="md-ellipsis"> Llama Datasets </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_12_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_12"> <span class="md-nav__icon md-icon"></span> Llama Datasets </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_13" > <label class="md-nav__link" for="__nav_7_13" id="__nav_7_13_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_13_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_13"> <span class="md-nav__icon md-icon"></span> Llama Deploy </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../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 class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_13_11" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/llama_deploy/message_queues/" class="md-nav__link "> <span class="md-ellipsis"> message_queues </span> </a> <label class="md-nav__link " for="__nav_7_13_11" id="__nav_7_13_11_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_13_11_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_13_11"> <span class="md-nav__icon md-icon"></span> message_queues </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/message_queues/kafka/" class="md-nav__link"> <span class="md-ellipsis"> apache_kafka </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/message_queues/rabbitmq/" class="md-nav__link"> <span class="md-ellipsis"> rabbitmq </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/message_queues/redis/" class="md-nav__link"> <span class="md-ellipsis"> redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/message_queues/simple/" class="md-nav__link"> <span class="md-ellipsis"> simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/llama_deploy/message_queues/solace/" class="md-nav__link"> <span class="md-ellipsis"> solace </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_14" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/packs/" class="md-nav__link "> <span class="md-ellipsis"> Llama Packs </span> </a> <label class="md-nav__link " for="__nav_7_14" id="__nav_7_14_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_14_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_14"> <span class="md-nav__icon md-icon"></span> Llama Packs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/packs/agent_search_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Agent search retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/agents_coa/" class="md-nav__link"> <span class="md-ellipsis"> Agents coa </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/agents_lats/" class="md-nav__link"> <span class="md-ellipsis"> Agents lats </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/agents_llm_compiler/" class="md-nav__link"> <span class="md-ellipsis"> Agents llm compiler </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/amazon_product_extraction/" class="md-nav__link"> <span class="md-ellipsis"> Amazon product extraction </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/arize_phoenix_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Arize phoenix query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/auto_merging_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Auto merging retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/chroma_autoretrieval/" class="md-nav__link"> <span class="md-ellipsis"> Chroma autoretrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/code_hierarchy/" class="md-nav__link"> <span class="md-ellipsis"> Code hierarchy </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/cogniswitch_agent/" class="md-nav__link"> <span class="md-ellipsis"> Cogniswitch agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/cohere_citation_chat/" class="md-nav__link"> <span class="md-ellipsis"> Cohere citation chat </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/corrective_rag/" class="md-nav__link"> <span class="md-ellipsis"> Corrective rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/deeplake_deepmemory_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake deepmemory retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/deeplake_multimodal_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake multimodal retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/dense_x_retrieval/" class="md-nav__link"> <span class="md-ellipsis"> Dense x retrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/diff_private_simple_dataset/" class="md-nav__link"> <span class="md-ellipsis"> Diff private simple dataset </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/evaluator_benchmarker/" class="md-nav__link"> <span class="md-ellipsis"> Evaluator benchmarker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/fusion_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Fusion retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/fuzzy_citation/" class="md-nav__link"> <span class="md-ellipsis"> Fuzzy citation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/gmail_openai_agent/" class="md-nav__link"> <span class="md-ellipsis"> Gmail openai agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/gradio_agent_chat/" class="md-nav__link"> <span class="md-ellipsis"> Gradio agent chat </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/gradio_react_agent_chatbot/" class="md-nav__link"> <span class="md-ellipsis"> Gradio react agent chatbot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/infer_retrieve_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Infer retrieve rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/koda_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Koda retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/llama_dataset_metadata/" class="md-nav__link"> <span class="md-ellipsis"> Llama dataset metadata </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/llama_guard_moderator/" class="md-nav__link"> <span class="md-ellipsis"> Llama guard moderator </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/llava_completion/" class="md-nav__link"> <span class="md-ellipsis"> Llava completion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/longrag/" class="md-nav__link"> <span class="md-ellipsis"> Longrag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/mixture_of_agents/" class="md-nav__link"> <span class="md-ellipsis"> Mixture of agents </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/multi_document_agents/" class="md-nav__link"> <span class="md-ellipsis"> Multi document agents </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/multi_tenancy_rag/" class="md-nav__link"> <span class="md-ellipsis"> Multi tenancy rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/multidoc_autoretrieval/" class="md-nav__link"> <span class="md-ellipsis"> Multidoc autoretrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/nebulagraph_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Nebulagraph query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/neo4j_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Neo4j query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/node_parser_semantic_chunking/" class="md-nav__link"> <span class="md-ellipsis"> Node parser semantic chunking </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/ollama_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Ollama query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/panel_chatbot/" class="md-nav__link"> <span class="md-ellipsis"> Panel chatbot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/query_understanding_agent/" class="md-nav__link"> <span class="md-ellipsis"> Query understanding agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/raft_dataset/" class="md-nav__link"> <span class="md-ellipsis"> Raft dataset </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/rag_cli_local/" class="md-nav__link"> <span class="md-ellipsis"> Rag cli local </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/rag_evaluator/" class="md-nav__link"> <span class="md-ellipsis"> Rag evaluator </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/rag_fusion_query_pipeline/" class="md-nav__link"> <span class="md-ellipsis"> Rag fusion query pipeline </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/ragatouille_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Ragatouille retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/raptor/" class="md-nav__link"> <span class="md-ellipsis"> Raptor </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/recursive_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Recursive retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/resume_screener/" class="md-nav__link"> <span class="md-ellipsis"> Resume screener </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/retry_engine_weaviate/" class="md-nav__link"> <span class="md-ellipsis"> Retry engine weaviate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/secgpt/" class="md-nav__link"> <span class="md-ellipsis"> Secgpt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/self_discover/" class="md-nav__link"> <span class="md-ellipsis"> Self discover </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/self_rag/" class="md-nav__link"> <span class="md-ellipsis"> Self rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/sentence_window_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Sentence window retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/snowflake_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Snowflake query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/stock_market_data_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Stock market data query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/streamlit_chatbot/" class="md-nav__link"> <span class="md-ellipsis"> Streamlit chatbot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/sub_question_weaviate/" class="md-nav__link"> <span class="md-ellipsis"> Sub question weaviate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/tables/" class="md-nav__link"> <span class="md-ellipsis"> Tables </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/timescale_vector_autoretrieval/" class="md-nav__link"> <span class="md-ellipsis"> Timescale vector autoretrieval </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/trulens_eval_packs/" class="md-nav__link"> <span class="md-ellipsis"> Trulens eval packs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/vanna.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/vectara_rag/" class="md-nav__link"> <span class="md-ellipsis"> Vectara rag </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/voyage_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Voyage query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/zenguard/" class="md-nav__link"> <span class="md-ellipsis"> Zenguard </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/packs/zephyr_query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Zephyr query engine </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_15" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/memory/" class="md-nav__link "> <span class="md-ellipsis"> Memory </span> </a> <label class="md-nav__link " for="__nav_7_15" id="__nav_7_15_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_15_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_15"> <span class="md-nav__icon md-icon"></span> Memory </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/memory/chat_memory_buffer/" class="md-nav__link"> <span class="md-ellipsis"> Chat memory buffer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/memory/mem0/" class="md-nav__link"> <span class="md-ellipsis"> Mem0 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/memory/simple_composable_memory/" class="md-nav__link"> <span class="md-ellipsis"> Simple composable memory </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/memory/vector_memory/" class="md-nav__link"> <span class="md-ellipsis"> Vector memory </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_16" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/extractors/" class="md-nav__link "> <span class="md-ellipsis"> Metadata Extractors </span> </a> <label class="md-nav__link " for="__nav_7_16" id="__nav_7_16_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_16_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_16"> <span class="md-nav__icon md-icon"></span> Metadata Extractors </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/extractors/documentcontext/" class="md-nav__link"> <span class="md-ellipsis"> Documentcontext </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/entity/" class="md-nav__link"> <span class="md-ellipsis"> Entity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/llama_extract.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/marvin/" class="md-nav__link"> <span class="md-ellipsis"> Marvin </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/pydantic/" class="md-nav__link"> <span class="md-ellipsis"> Pydantic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/question/" class="md-nav__link"> <span class="md-ellipsis"> Question </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/relik/" class="md-nav__link"> <span class="md-ellipsis"> Relik </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/summary/" class="md-nav__link"> <span class="md-ellipsis"> Summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/extractors/title/" class="md-nav__link"> <span class="md-ellipsis"> Title </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_17" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/multi_modal_llms/" class="md-nav__link "> <span class="md-ellipsis"> Multi-Modal LLMs </span> </a> <label class="md-nav__link " for="__nav_7_17" id="__nav_7_17_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_17_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_17"> <span class="md-nav__icon md-icon"></span> Multi-Modal LLMs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/anthropic/" class="md-nav__link"> <span class="md-ellipsis"> Anthropic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/azure_openai/" class="md-nav__link"> <span class="md-ellipsis"> Azure openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/bedrock/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/gemini/" class="md-nav__link"> <span class="md-ellipsis"> Gemini </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/huggingface/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/mistralai/" class="md-nav__link"> <span class="md-ellipsis"> Mistralai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/nebius/" class="md-nav__link"> <span class="md-ellipsis"> Nebius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/nvidia/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/ollama/" class="md-nav__link"> <span class="md-ellipsis"> Ollama </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/openvino/" class="md-nav__link"> <span class="md-ellipsis"> Openvino </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/reka/" class="md-nav__link"> <span class="md-ellipsis"> Reka </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/replicate/" class="md-nav__link"> <span class="md-ellipsis"> Replicate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/multi_modal_llms/zhipuai/" class="md-nav__link"> <span class="md-ellipsis"> Zhipuai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_18" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/node_parsers/" class="md-nav__link "> <span class="md-ellipsis"> Node Parsers & Text Splitters </span> </a> <label class="md-nav__link " for="__nav_7_18" id="__nav_7_18_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_18_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_18"> <span class="md-nav__icon md-icon"></span> Node Parsers & Text Splitters </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/alibabacloud_aisearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/docling/" class="md-nav__link"> <span class="md-ellipsis"> Docling </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parser/topic/" class="md-nav__link"> <span class="md-ellipsis"> Topic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/code/" class="md-nav__link"> <span class="md-ellipsis"> Code </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/hierarchical/" class="md-nav__link"> <span class="md-ellipsis"> Hierarchical </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/html/" class="md-nav__link"> <span class="md-ellipsis"> Html </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/json/" class="md-nav__link"> <span class="md-ellipsis"> Json </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/langchain/" class="md-nav__link"> <span class="md-ellipsis"> Langchain </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/markdown/" class="md-nav__link"> <span class="md-ellipsis"> Markdown </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/markdown_element/" class="md-nav__link"> <span class="md-ellipsis"> Markdown element </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/semantic_splitter/" class="md-nav__link"> <span class="md-ellipsis"> Semantic splitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/sentence_splitter/" class="md-nav__link"> <span class="md-ellipsis"> Sentence splitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/sentence_window/" class="md-nav__link"> <span class="md-ellipsis"> Sentence window </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/token_text_splitter/" class="md-nav__link"> <span class="md-ellipsis"> Token text splitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/node_parsers/unstructured_element/" class="md-nav__link"> <span class="md-ellipsis"> Unstructured element </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_19" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/postprocessor/" class="md-nav__link "> <span class="md-ellipsis"> Node Postprocessors </span> </a> <label class="md-nav__link " for="__nav_7_19" id="__nav_7_19_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_19_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_19"> <span class="md-nav__icon md-icon"></span> Node Postprocessors </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/NER_PII/" class="md-nav__link"> <span class="md-ellipsis"> NER PII </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/PII/" class="md-nav__link"> <span class="md-ellipsis"> PII </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/alibabacloud_aisearch_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/auto_prev_next/" class="md-nav__link"> <span class="md-ellipsis"> Auto prev next </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/bedrock_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/cohere_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Cohere rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/colbert_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Colbert rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/colpali_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Colpali rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/dashscope_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/embedding_recency/" class="md-nav__link"> <span class="md-ellipsis"> Embedding recency </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/fixed_recency/" class="md-nav__link"> <span class="md-ellipsis"> Fixed recency </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/flag_embedding_reranker/" class="md-nav__link"> <span class="md-ellipsis"> Flag embedding reranker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/jinaai_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Jinaai rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/llm_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Llm rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/long_context_reorder/" class="md-nav__link"> <span class="md-ellipsis"> Long context reorder </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/longllmlingua/" class="md-nav__link"> <span class="md-ellipsis"> Longllmlingua </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/metadata_replacement/" class="md-nav__link"> <span class="md-ellipsis"> Metadata replacement </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/mixedbreadai_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Mixedbreadai rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/nvidia_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Nvidia rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/openvino_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Openvino rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/pinecone_native_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Pinecone native rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/presidio/" class="md-nav__link"> <span class="md-ellipsis"> Presidio </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/prev_next/" class="md-nav__link"> <span class="md-ellipsis"> Prev next </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/rankgpt_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Rankgpt rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/rankllm_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Rankllm rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/sbert_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Sbert rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/sentence_optimizer/" class="md-nav__link"> <span class="md-ellipsis"> Sentence optimizer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/siliconflow_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Siliconflow rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/similarity/" class="md-nav__link"> <span class="md-ellipsis"> Similarity </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/tei_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Tei rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/time_weighted/" class="md-nav__link"> <span class="md-ellipsis"> Time weighted </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/voyageai_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Voyageai rerank </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/postprocessor/xinference_rerank/" class="md-nav__link"> <span class="md-ellipsis"> Xinference rerank </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_20" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/objects/" class="md-nav__link "> <span class="md-ellipsis"> Object Stores </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_20_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_20"> <span class="md-nav__icon md-icon"></span> Object Stores </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_21" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/output_parsers/" class="md-nav__link "> <span class="md-ellipsis"> Output Parsers </span> </a> <label class="md-nav__link " for="__nav_7_21" id="__nav_7_21_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_21_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_21"> <span class="md-nav__icon md-icon"></span> Output Parsers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/guardrails/" class="md-nav__link"> <span class="md-ellipsis"> Guardrails </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/langchain/" class="md-nav__link"> <span class="md-ellipsis"> Langchain </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/pydantic/" class="md-nav__link"> <span class="md-ellipsis"> Pydantic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/output_parsers/selection/" class="md-nav__link"> <span class="md-ellipsis"> Selection </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_22" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/program/" class="md-nav__link "> <span class="md-ellipsis"> Programs </span> </a> <label class="md-nav__link " for="__nav_7_22" id="__nav_7_22_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_22_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_22"> <span class="md-nav__icon md-icon"></span> Programs </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/program/evaporate/" class="md-nav__link"> <span class="md-ellipsis"> Evaporate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/guidance/" class="md-nav__link"> <span class="md-ellipsis"> Guidance </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/llm_text_completion/" class="md-nav__link"> <span class="md-ellipsis"> Llm text completion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/lmformatenforcer/" class="md-nav__link"> <span class="md-ellipsis"> Lmformatenforcer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/program/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_23" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/prompts/" class="md-nav__link "> <span class="md-ellipsis"> Prompts </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_23_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_23"> <span class="md-nav__icon md-icon"></span> Prompts </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_24" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/query_engine/" class="md-nav__link "> <span class="md-ellipsis"> Query Engines </span> </a> <label class="md-nav__link " for="__nav_7_24" id="__nav_7_24_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_24_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_24"> <span class="md-nav__icon md-icon"></span> Query Engines </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/FLARE/" class="md-nav__link"> <span class="md-ellipsis"> FLARE </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/JSONalayze/" class="md-nav__link"> <span class="md-ellipsis"> JSONalayze </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/NL_SQL_table/" class="md-nav__link"> <span class="md-ellipsis"> NL SQL table </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/PGVector_SQL/" class="md-nav__link"> <span class="md-ellipsis"> PGVector SQL </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/SQL_join/" class="md-nav__link"> <span class="md-ellipsis"> SQL join </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/SQL_table_retriever/" class="md-nav__link"> <span class="md-ellipsis"> SQL table retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/citation/" class="md-nav__link"> <span class="md-ellipsis"> Citation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/cogniswitch/" class="md-nav__link"> <span class="md-ellipsis"> Cogniswitch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/custom/" class="md-nav__link"> <span class="md-ellipsis"> Custom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/knowledge_graph/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/multi_step/" class="md-nav__link"> <span class="md-ellipsis"> Multi step </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/pandas/" class="md-nav__link"> <span class="md-ellipsis"> Pandas </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/retriever/" class="md-nav__link"> <span class="md-ellipsis"> Retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/retriever_router/" class="md-nav__link"> <span class="md-ellipsis"> Retriever router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/retry/" class="md-nav__link"> <span class="md-ellipsis"> Retry </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/router/" class="md-nav__link"> <span class="md-ellipsis"> Router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/simple_multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Simple multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/sub_question/" class="md-nav__link"> <span class="md-ellipsis"> Sub question </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/tool_retriever_router/" class="md-nav__link"> <span class="md-ellipsis"> Tool retriever router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_engine/transform/" class="md-nav__link"> <span class="md-ellipsis"> Transform </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_25" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/query_pipeline/" class="md-nav__link "> <span class="md-ellipsis"> Query Pipeline </span> </a> <label class="md-nav__link " for="__nav_7_25" id="__nav_7_25_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_25_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_25"> <span class="md-nav__icon md-icon"></span> Query Pipeline </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/agent/" class="md-nav__link"> <span class="md-ellipsis"> Agent </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/arg_pack/" class="md-nav__link"> <span class="md-ellipsis"> Arg pack </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/custom/" class="md-nav__link"> <span class="md-ellipsis"> Custom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/function/" class="md-nav__link"> <span class="md-ellipsis"> Function </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/input/" class="md-nav__link"> <span class="md-ellipsis"> Input </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/llm/" class="md-nav__link"> <span class="md-ellipsis"> Llm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/multi_modal/" class="md-nav__link"> <span class="md-ellipsis"> Multi modal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/object/" class="md-nav__link"> <span class="md-ellipsis"> Object </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/output_parser/" class="md-nav__link"> <span class="md-ellipsis"> Output parser </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/postprocessor/" class="md-nav__link"> <span class="md-ellipsis"> Postprocessor </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/prompt/" class="md-nav__link"> <span class="md-ellipsis"> Prompt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/query_engine/" class="md-nav__link"> <span class="md-ellipsis"> Query engine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/query_transform/" class="md-nav__link"> <span class="md-ellipsis"> Query transform </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/retriever/" class="md-nav__link"> <span class="md-ellipsis"> Retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/router/" class="md-nav__link"> <span class="md-ellipsis"> Router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/synthesizer/" class="md-nav__link"> <span class="md-ellipsis"> Synthesizer </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/query_pipeline/tool_runner/" class="md-nav__link"> <span class="md-ellipsis"> Tool runner </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_26" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/question_gen/" class="md-nav__link "> <span class="md-ellipsis"> Question Generators </span> </a> <label class="md-nav__link " for="__nav_7_26" id="__nav_7_26_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_26_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_26"> <span class="md-nav__icon md-icon"></span> Question Generators </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/question_gen/guidance/" class="md-nav__link"> <span class="md-ellipsis"> Guidance </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/question_gen/llm_question_gen/" class="md-nav__link"> <span class="md-ellipsis"> Llm question gen </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/question_gen/openai/" class="md-nav__link"> <span class="md-ellipsis"> Openai </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_27" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/readers/" class="md-nav__link "> <span class="md-ellipsis"> Readers </span> </a> <label class="md-nav__link " for="__nav_7_27" id="__nav_7_27_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_27_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_27"> <span class="md-nav__icon md-icon"></span> Readers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/readers/agent_search/" class="md-nav__link"> <span class="md-ellipsis"> Agent search </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_cdk/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte cdk </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_gong/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte gong </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_hubspot/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte hubspot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_salesforce/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte salesforce </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_shopify/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte shopify </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_stripe/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte stripe </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_typeform/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte typeform </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airbyte_zendesk_support/" class="md-nav__link"> <span class="md-ellipsis"> Airbyte zendesk support </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/airtable/" class="md-nav__link"> <span class="md-ellipsis"> Airtable </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/alibabacloud_aisearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud aisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/apify/" class="md-nav__link"> <span class="md-ellipsis"> Apify </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/arango_db/" class="md-nav__link"> <span class="md-ellipsis"> Arango db </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/arxiv/" class="md-nav__link"> <span class="md-ellipsis"> Arxiv </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/asana/" class="md-nav__link"> <span class="md-ellipsis"> Asana </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/assemblyai/" class="md-nav__link"> <span class="md-ellipsis"> Assemblyai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/astra_db/" class="md-nav__link"> <span class="md-ellipsis"> Astra db </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/athena/" class="md-nav__link"> <span class="md-ellipsis"> Athena </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/awadb/" class="md-nav__link"> <span class="md-ellipsis"> Awadb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/azcognitive_search/" class="md-nav__link"> <span class="md-ellipsis"> Azcognitive search </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/azstorage_blob/" class="md-nav__link"> <span class="md-ellipsis"> Azstorage blob </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/bagel/" class="md-nav__link"> <span class="md-ellipsis"> Bagel </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/bilibili/" class="md-nav__link"> <span class="md-ellipsis"> Bilibili </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/bitbucket/" class="md-nav__link"> <span class="md-ellipsis"> Bitbucket </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/boarddocs/" class="md-nav__link"> <span class="md-ellipsis"> Boarddocs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/box/" class="md-nav__link"> <span class="md-ellipsis"> Box </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/chatgpt_plugin/" class="md-nav__link"> <span class="md-ellipsis"> Chatgpt plugin </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/chroma/" class="md-nav__link"> <span class="md-ellipsis"> Chroma </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/clickhouse.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/confluence/" class="md-nav__link"> <span class="md-ellipsis"> Confluence </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/couchdb/" class="md-nav__link"> <span class="md-ellipsis"> Couchdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/dad_jokes/" class="md-nav__link"> <span class="md-ellipsis"> Dad jokes </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/dashscope/" class="md-nav__link"> <span class="md-ellipsis"> Dashscope </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/dashvector/" class="md-nav__link"> <span class="md-ellipsis"> Dashvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/database/" class="md-nav__link"> <span class="md-ellipsis"> Database </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/deeplake/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/discord/" class="md-nav__link"> <span class="md-ellipsis"> Discord </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/docling/" class="md-nav__link"> <span class="md-ellipsis"> Docling </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/docstring_walker/" class="md-nav__link"> <span class="md-ellipsis"> Docstring walker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/docugami/" class="md-nav__link"> <span class="md-ellipsis"> Docugami </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/document360/" class="md-nav__link"> <span class="md-ellipsis"> Document360 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/earnings_call_transcript/" class="md-nav__link"> <span class="md-ellipsis"> Earnings call transcript </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/faiss/" class="md-nav__link"> <span class="md-ellipsis"> Faiss </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/feedly_rss/" class="md-nav__link"> <span class="md-ellipsis"> Feedly rss </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/feishu_docs/" class="md-nav__link"> <span class="md-ellipsis"> Feishu docs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/file/" class="md-nav__link"> <span class="md-ellipsis"> File </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/firebase_realtimedb/" class="md-nav__link"> <span class="md-ellipsis"> Firebase realtimedb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gcs/" class="md-nav__link"> <span class="md-ellipsis"> Gcs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/genius/" class="md-nav__link"> <span class="md-ellipsis"> Genius </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gitbook/" class="md-nav__link"> <span class="md-ellipsis"> Gitbook </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/github/" class="md-nav__link"> <span class="md-ellipsis"> Github </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gitlab/" class="md-nav__link"> <span class="md-ellipsis"> Gitlab </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/gpt_repo/" class="md-nav__link"> <span class="md-ellipsis"> Gpt repo </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/graphdb_cypher/" class="md-nav__link"> <span class="md-ellipsis"> Graphdb cypher </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/graphql/" class="md-nav__link"> <span class="md-ellipsis"> Graphql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/guru/" class="md-nav__link"> <span class="md-ellipsis"> Guru </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hatena_blog/" class="md-nav__link"> <span class="md-ellipsis"> Hatena blog </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hive/" class="md-nav__link"> <span class="md-ellipsis"> Hive </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hubspot/" class="md-nav__link"> <span class="md-ellipsis"> Hubspot </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/huggingface_fs/" class="md-nav__link"> <span class="md-ellipsis"> Huggingface fs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/hwp/" class="md-nav__link"> <span class="md-ellipsis"> Hwp </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/iceberg/" class="md-nav__link"> <span class="md-ellipsis"> Iceberg </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/imdb_review/" class="md-nav__link"> <span class="md-ellipsis"> Imdb review </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/intercom/" class="md-nav__link"> <span class="md-ellipsis"> Intercom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/jaguar/" class="md-nav__link"> <span class="md-ellipsis"> Jaguar </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/jira/" class="md-nav__link"> <span class="md-ellipsis"> Jira </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/joplin/" class="md-nav__link"> <span class="md-ellipsis"> Joplin </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/json/" class="md-nav__link"> <span class="md-ellipsis"> Json </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/kaltura_esearch/" class="md-nav__link"> <span class="md-ellipsis"> Kaltura esearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/kibela/" class="md-nav__link"> <span class="md-ellipsis"> Kibela </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/lilac/" class="md-nav__link"> <span class="md-ellipsis"> Lilac </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/linear/" class="md-nav__link"> <span class="md-ellipsis"> Linear </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/llama_parse/" class="md-nav__link"> <span class="md-ellipsis"> Llama parse </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/macrometa_gdn/" class="md-nav__link"> <span class="md-ellipsis"> Macrometa gdn </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/make_com/" class="md-nav__link"> <span class="md-ellipsis"> Make com </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mangadex/" class="md-nav__link"> <span class="md-ellipsis"> Mangadex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mangoapps_guides/" class="md-nav__link"> <span class="md-ellipsis"> Mangoapps guides </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/maps/" class="md-nav__link"> <span class="md-ellipsis"> Maps </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mbox/" class="md-nav__link"> <span class="md-ellipsis"> Mbox </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/memos/" class="md-nav__link"> <span class="md-ellipsis"> Memos </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/metal/" class="md-nav__link"> <span class="md-ellipsis"> Metal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/microsoft_onedrive/" class="md-nav__link"> <span class="md-ellipsis"> Microsoft onedrive </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/microsoft_outlook/" class="md-nav__link"> <span class="md-ellipsis"> Microsoft outlook </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/microsoft_sharepoint/" class="md-nav__link"> <span class="md-ellipsis"> Microsoft sharepoint </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/milvus/" class="md-nav__link"> <span class="md-ellipsis"> Milvus </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/minio/" class="md-nav__link"> <span class="md-ellipsis"> Minio </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mondaydotcom/" class="md-nav__link"> <span class="md-ellipsis"> Mondaydotcom </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/myscale/" class="md-nav__link"> <span class="md-ellipsis"> Myscale </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/notion/" class="md-nav__link"> <span class="md-ellipsis"> Notion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/nougat_ocr/" class="md-nav__link"> <span class="md-ellipsis"> Nougat ocr </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/obsidian/" class="md-nav__link"> <span class="md-ellipsis"> Obsidian </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/openalex/" class="md-nav__link"> <span class="md-ellipsis"> Openalex </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/openapi.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/opendal/" class="md-nav__link"> <span class="md-ellipsis"> Opendal </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/opensearch/" class="md-nav__link"> <span class="md-ellipsis"> Opensearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/oracleai/" class="md-nav__link"> <span class="md-ellipsis"> Oracleai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pandas_ai/" class="md-nav__link"> <span class="md-ellipsis"> Pandas ai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/papers/" class="md-nav__link"> <span class="md-ellipsis"> Papers </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/patentsview/" class="md-nav__link"> <span class="md-ellipsis"> Patentsview </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pathway/" class="md-nav__link"> <span class="md-ellipsis"> Pathway </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pdb/" class="md-nav__link"> <span class="md-ellipsis"> Pdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pdf_marker/" class="md-nav__link"> <span class="md-ellipsis"> Pdf marker </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pdf_table/" class="md-nav__link"> <span class="md-ellipsis"> Pdf table </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pebblo/" class="md-nav__link"> <span class="md-ellipsis"> Pebblo </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/pinecone.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/preprocess/" class="md-nav__link"> <span class="md-ellipsis"> Preprocess </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/psychic/" class="md-nav__link"> <span class="md-ellipsis"> Psychic </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/qdrant/" class="md-nav__link"> <span class="md-ellipsis"> Qdrant </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/quip/" class="md-nav__link"> <span class="md-ellipsis"> Quip </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/rayyan/" class="md-nav__link"> <span class="md-ellipsis"> Rayyan </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/readme.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/readwise/" class="md-nav__link"> <span class="md-ellipsis"> Readwise </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/reddit/" class="md-nav__link"> <span class="md-ellipsis"> Reddit </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/remote/" class="md-nav__link"> <span class="md-ellipsis"> Remote </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/remote_depth/" class="md-nav__link"> <span class="md-ellipsis"> Remote depth </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/s3/" class="md-nav__link"> <span class="md-ellipsis"> S3 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/sec_filings/" class="md-nav__link"> <span class="md-ellipsis"> Sec filings </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/semanticscholar/" class="md-nav__link"> <span class="md-ellipsis"> Semanticscholar </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/simple_directory_reader/" class="md-nav__link"> <span class="md-ellipsis"> Simple directory reader </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/singlestore/" class="md-nav__link"> <span class="md-ellipsis"> Singlestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/slack/" class="md-nav__link"> <span class="md-ellipsis"> Slack </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/smart_pdf_loader/" class="md-nav__link"> <span class="md-ellipsis"> Smart pdf loader </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/snowflake/" class="md-nav__link"> <span class="md-ellipsis"> Snowflake </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/spotify/" class="md-nav__link"> <span class="md-ellipsis"> Spotify </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/stackoverflow/" class="md-nav__link"> <span class="md-ellipsis"> Stackoverflow </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/steamship/" class="md-nav__link"> <span class="md-ellipsis"> Steamship </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/string_iterable/" class="md-nav__link"> <span class="md-ellipsis"> String iterable </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/stripe_docs/" class="md-nav__link"> <span class="md-ellipsis"> Stripe docs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/structured_data/" class="md-nav__link"> <span class="md-ellipsis"> Structured data </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/telegram/" class="md-nav__link"> <span class="md-ellipsis"> Telegram </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/toggl/" class="md-nav__link"> <span class="md-ellipsis"> Toggl </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/trello/" class="md-nav__link"> <span class="md-ellipsis"> Trello </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/twitter/" class="md-nav__link"> <span class="md-ellipsis"> Twitter </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/txtai/" class="md-nav__link"> <span class="md-ellipsis"> Txtai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/upstage/" class="md-nav__link"> <span class="md-ellipsis"> Upstage </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/weather/" class="md-nav__link"> <span class="md-ellipsis"> Weather </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/weaviate/" class="md-nav__link"> <span class="md-ellipsis"> Weaviate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/web/" class="md-nav__link"> <span class="md-ellipsis"> Web </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/whatsapp/" class="md-nav__link"> <span class="md-ellipsis"> Whatsapp </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/whisper/" class="md-nav__link"> <span class="md-ellipsis"> Whisper </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/wikipedia/" class="md-nav__link"> <span class="md-ellipsis"> Wikipedia </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/wordlift/" class="md-nav__link"> <span class="md-ellipsis"> Wordlift </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/wordpress/" class="md-nav__link"> <span class="md-ellipsis"> Wordpress </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/youtube_transcript/" class="md-nav__link"> <span class="md-ellipsis"> Youtube transcript </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zendesk/" class="md-nav__link"> <span class="md-ellipsis"> Zendesk </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zep/" class="md-nav__link"> <span class="md-ellipsis"> Zep </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zulip/" class="md-nav__link"> <span class="md-ellipsis"> Zulip </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/readers/zyte_serp/" class="md-nav__link"> <span class="md-ellipsis"> Zyte serp </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_28" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/response_synthesizers/" class="md-nav__link "> <span class="md-ellipsis"> Response Synthesizers </span> </a> <label class="md-nav__link " for="__nav_7_28" id="__nav_7_28_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_28_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_28"> <span class="md-nav__icon md-icon"></span> Response Synthesizers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/accumulate/" class="md-nav__link"> <span class="md-ellipsis"> Accumulate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/compact_accumulate/" class="md-nav__link"> <span class="md-ellipsis"> Compact accumulate </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/compact_and_refine/" class="md-nav__link"> <span class="md-ellipsis"> Compact and refine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/generation/" class="md-nav__link"> <span class="md-ellipsis"> Generation </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/refine/" class="md-nav__link"> <span class="md-ellipsis"> Refine </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/simple_summarize/" class="md-nav__link"> <span class="md-ellipsis"> Simple summarize </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/response_synthesizers/tree_summarize/" class="md-nav__link"> <span class="md-ellipsis"> Tree summarize </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_29" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/retrievers/" class="md-nav__link "> <span class="md-ellipsis"> Retrievers </span> </a> <label class="md-nav__link " for="__nav_7_29" id="__nav_7_29_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_29_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_29"> <span class="md-nav__icon md-icon"></span> Retrievers </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/auto_merging/" class="md-nav__link"> <span class="md-ellipsis"> Auto merging </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/bedrock/" class="md-nav__link"> <span class="md-ellipsis"> Bedrock </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/bm25/" class="md-nav__link"> <span class="md-ellipsis"> Bm25 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/duckdb_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Duckdb retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/kendra/" class="md-nav__link"> <span class="md-ellipsis"> Kendra </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/keyword/" class="md-nav__link"> <span class="md-ellipsis"> Keyword </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/knowledge_graph/" class="md-nav__link"> <span class="md-ellipsis"> Knowledge graph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/mongodb_atlas_bm25_retriever/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb atlas bm25 retriever </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/pathway/" class="md-nav__link"> <span class="md-ellipsis"> Pathway </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/query_fusion/" class="md-nav__link"> <span class="md-ellipsis"> Query fusion </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/recursive/" class="md-nav__link"> <span class="md-ellipsis"> Recursive </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/router/" class="md-nav__link"> <span class="md-ellipsis"> Router </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/sql/" class="md-nav__link"> <span class="md-ellipsis"> Sql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/summary/" class="md-nav__link"> <span class="md-ellipsis"> Summary </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/transform/" class="md-nav__link"> <span class="md-ellipsis"> Transform </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/tree/" class="md-nav__link"> <span class="md-ellipsis"> Tree </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/vector/" class="md-nav__link"> <span class="md-ellipsis"> Vector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/vertexai_search/" class="md-nav__link"> <span class="md-ellipsis"> Vertexai search </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/videodb/" class="md-nav__link"> <span class="md-ellipsis"> Videodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/retrievers/you/" class="md-nav__link"> <span class="md-ellipsis"> You </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_30" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/schema/" class="md-nav__link "> <span class="md-ellipsis"> Schema </span> </a> </div> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_30_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_30"> <span class="md-nav__icon md-icon"></span> Schema </label> <ul class="md-nav__list" data-md-scrollfix> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_31" > <label class="md-nav__link" for="__nav_7_31" id="__nav_7_31_label" tabindex="0"> <span class="md-ellipsis"> Selectors </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_31_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_31"> <span class="md-nav__icon md-icon"></span> Selectors </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/selectors/notdiamond/" class="md-nav__link"> <span class="md-ellipsis"> Notdiamond </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_32" > <label class="md-nav__link" for="__nav_7_32" id="__nav_7_32_label" tabindex="0"> <span class="md-ellipsis"> Sparse Embeddings </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_32_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_32"> <span class="md-nav__icon md-icon"></span> Sparse Embeddings </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/sparse_embeddings/fastembed/" class="md-nav__link"> <span class="md-ellipsis"> Fastembed </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33" > <label class="md-nav__link" for="__nav_7_33" id="__nav_7_33_label" tabindex="0"> <span class="md-ellipsis"> Storage </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="2" aria-labelledby="__nav_7_33_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33"> <span class="md-nav__icon md-icon"></span> Storage </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_1" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/chat_store/" class="md-nav__link "> <span class="md-ellipsis"> Chat Store </span> </a> <label class="md-nav__link " for="__nav_7_33_1" id="__nav_7_33_1_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_1_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_1"> <span class="md-nav__icon md-icon"></span> Chat Store </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/azurecosmosmongovcore/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosmongovcore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/chat_store/upstash/" class="md-nav__link"> <span class="md-ellipsis"> Upstash </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_2" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/docstore/" class="md-nav__link "> <span class="md-ellipsis"> Docstore </span> </a> <label class="md-nav__link " for="__nav_7_33_2" id="__nav_7_33_2_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_2_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_2"> <span class="md-nav__icon md-icon"></span> Docstore </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/docstore/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_3" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/graph_stores/" class="md-nav__link "> <span class="md-ellipsis"> Graph Stores </span> </a> <label class="md-nav__link " for="__nav_7_33_3" id="__nav_7_33_3_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_3_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_3"> <span class="md-nav__icon md-icon"></span> Graph Stores </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/falkordb/" class="md-nav__link"> <span class="md-ellipsis"> Falkordb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/kuzu/" class="md-nav__link"> <span class="md-ellipsis"> Kuzu </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/memgraph/" class="md-nav__link"> <span class="md-ellipsis"> Memgraph </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/nebula/" class="md-nav__link"> <span class="md-ellipsis"> Nebula </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/neo4j/" class="md-nav__link"> <span class="md-ellipsis"> Neo4j </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/neptune/" class="md-nav__link"> <span class="md-ellipsis"> Neptune </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/graph_stores/tidb/" class="md-nav__link"> <span class="md-ellipsis"> Tidb </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_4" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/index_store/" class="md-nav__link "> <span class="md-ellipsis"> Index Store </span> </a> <label class="md-nav__link " for="__nav_7_33_4" id="__nav_7_33_4_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_4_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_4"> <span class="md-nav__icon md-icon"></span> Index Store </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/index_store/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_5" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/kvstore/" class="md-nav__link "> <span class="md-ellipsis"> Kvstore </span> </a> <label class="md-nav__link " for="__nav_7_33_5" id="__nav_7_33_5_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_5_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_5"> <span class="md-nav__icon md-icon"></span> Kvstore </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/azure/" class="md-nav__link"> <span class="md-ellipsis"> Azure </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/s3/" class="md-nav__link"> <span class="md-ellipsis"> S3 </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/kvstore/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_6" > <label class="md-nav__link" for="__nav_7_33_6" id="__nav_7_33_6_label" tabindex="0"> <span class="md-ellipsis"> Storage </span> <span class="md-nav__icon md-icon"></span> </label> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_6_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_6"> <span class="md-nav__icon md-icon"></span> Storage </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/storage_context/" class="md-nav__link"> <span class="md-ellipsis"> Storage context </span> </a> </li> </ul> </nav> </li> <li class="md-nav__item md-nav__item--nested"> <input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_7_33_7" > <div class="md-nav__link md-nav__container"> <a href="../../../api_reference/storage/vector_store/" class="md-nav__link "> <span class="md-ellipsis"> Vector Store </span> </a> <label class="md-nav__link " for="__nav_7_33_7" id="__nav_7_33_7_label" tabindex="0"> <span class="md-nav__icon md-icon"></span> </label> </div> <nav class="md-nav" data-md-level="3" aria-labelledby="__nav_7_33_7_label" aria-expanded="false"> <label class="md-nav__title" for="__nav_7_33_7"> <span class="md-nav__icon md-icon"></span> Vector Store </label> <ul class="md-nav__list" data-md-scrollfix> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/alibabacloud_opensearch/" class="md-nav__link"> <span class="md-ellipsis"> Alibabacloud opensearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/analyticdb/" class="md-nav__link"> <span class="md-ellipsis"> Analyticdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/astra_db/" class="md-nav__link"> <span class="md-ellipsis"> Astra db </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/awadb/" class="md-nav__link"> <span class="md-ellipsis"> Awadb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/awsdocdb/" class="md-nav__link"> <span class="md-ellipsis"> Awsdocdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/azureaisearch/" class="md-nav__link"> <span class="md-ellipsis"> Azureaisearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/azurecosmosmongo/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosmongo </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/azurecosmosnosql/" class="md-nav__link"> <span class="md-ellipsis"> Azurecosmosnosql </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/bagel/" class="md-nav__link"> <span class="md-ellipsis"> Bagel </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/baiduvectordb/" class="md-nav__link"> <span class="md-ellipsis"> Baiduvectordb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/cassandra/" class="md-nav__link"> <span class="md-ellipsis"> Cassandra </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/chatgpt_plugin.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/chroma/" class="md-nav__link"> <span class="md-ellipsis"> Chroma </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/clickhouse/" class="md-nav__link"> <span class="md-ellipsis"> Clickhouse </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/couchbase/" class="md-nav__link"> <span class="md-ellipsis"> Couchbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/dashvector/" class="md-nav__link"> <span class="md-ellipsis"> Dashvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/databricks/" class="md-nav__link"> <span class="md-ellipsis"> Databricks </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/deeplake/" class="md-nav__link"> <span class="md-ellipsis"> Deeplake </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/docarray/" class="md-nav__link"> <span class="md-ellipsis"> Docarray </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/duckdb/" class="md-nav__link"> <span class="md-ellipsis"> Duckdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/dynamodb/" class="md-nav__link"> <span class="md-ellipsis"> Dynamodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/elasticsearch/" class="md-nav__link"> <span class="md-ellipsis"> Elasticsearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/epsilla/" class="md-nav__link"> <span class="md-ellipsis"> Epsilla </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/faiss/" class="md-nav__link"> <span class="md-ellipsis"> Faiss </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/firestore/" class="md-nav__link"> <span class="md-ellipsis"> Firestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/google/" class="md-nav__link"> <span class="md-ellipsis"> Google </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/hologres/" class="md-nav__link"> <span class="md-ellipsis"> Hologres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/jaguar/" class="md-nav__link"> <span class="md-ellipsis"> Jaguar </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/kdbai/" class="md-nav__link"> <span class="md-ellipsis"> Kdbai </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/lancedb/" class="md-nav__link"> <span class="md-ellipsis"> Lancedb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/lantern/" class="md-nav__link"> <span class="md-ellipsis"> Lantern </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/lindorm/" class="md-nav__link"> <span class="md-ellipsis"> Lindorm </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/mariadb/" class="md-nav__link"> <span class="md-ellipsis"> Mariadb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/metal.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/milvus/" class="md-nav__link"> <span class="md-ellipsis"> Milvus </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/mongodb/" class="md-nav__link"> <span class="md-ellipsis"> Mongodb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/myscale/" class="md-nav__link"> <span class="md-ellipsis"> Myscale </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/neo4jvector/" class="md-nav__link"> <span class="md-ellipsis"> Neo4jvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/neptune/" class="md-nav__link"> <span class="md-ellipsis"> Neptune </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/nile/" class="md-nav__link"> <span class="md-ellipsis"> Nile </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/objectbox/" class="md-nav__link"> <span class="md-ellipsis"> Objectbox </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/oceanbase/" class="md-nav__link"> <span class="md-ellipsis"> Oceanbase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/opensearch/" class="md-nav__link"> <span class="md-ellipsis"> Opensearch </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/oracledb/" class="md-nav__link"> <span class="md-ellipsis"> Oracledb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/pgvecto_rs/" class="md-nav__link"> <span class="md-ellipsis"> Pgvecto rs </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/pinecone/" class="md-nav__link"> <span class="md-ellipsis"> Pinecone </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/postgres/" class="md-nav__link"> <span class="md-ellipsis"> Postgres </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/qdrant/" class="md-nav__link"> <span class="md-ellipsis"> Qdrant </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/redis/" class="md-nav__link"> <span class="md-ellipsis"> Redis </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/relyt/" class="md-nav__link"> <span class="md-ellipsis"> Relyt </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/rocksetdb/" class="md-nav__link"> <span class="md-ellipsis"> Rocksetdb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/simple/" class="md-nav__link"> <span class="md-ellipsis"> Simple </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/singlestoredb/" class="md-nav__link"> <span class="md-ellipsis"> Singlestoredb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/sqlalchemy.md" class="md-nav__link"> <span class="md-ellipsis"> None </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/supabase/" class="md-nav__link"> <span class="md-ellipsis"> Supabase </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tablestore/" class="md-nav__link"> <span class="md-ellipsis"> Tablestore </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tair/" class="md-nav__link"> <span class="md-ellipsis"> Tair </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tencentvectordb/" class="md-nav__link"> <span class="md-ellipsis"> Tencentvectordb </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/tidbvector/" class="md-nav__link"> <span class="md-ellipsis"> Tidbvector </span> </a> </li> <li class="md-nav__item"> <a href="../../../api_reference/storage/vector_store/timescalevector/" class="md-nav__link"> <span class="md-ellipsis"> Timescalevector </span> </a> </li> <li class="md-nav__item"> <a 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class="md-nav__item"> <a href="#using-async-stream-complete" class="md-nav__link"> <span class="md-ellipsis"> Using async stream complete </span> </a> </li> <li class="md-nav__item"> <a href="#using-async-complete" class="md-nav__link"> <span class="md-ellipsis"> Using async complete </span> </a> </li> <li class="md-nav__item"> <a href="#using-stream-complete" class="md-nav__link"> <span class="md-ellipsis"> Using stream complete </span> </a> </li> </ul> </nav> </li> </ul> </nav> </div> </div> </div> <div class="md-content" data-md-component="content"> <article class="md-content__inner md-typeset"> <script> (function (global, factory) { typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() : typeof define === 'function' && define.amd ? define(factory) : (global = global || self, global.ClipboardCopyElement = factory()); }(this, function () { 'use strict'; function createNode(text) { const node = document.createElement('pre'); node.style.width = 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body.appendChild(node); copyNode(node); body.removeChild(node); return Promise.resolve(); } function copy(button) { const id = button.getAttribute('for'); const text = button.getAttribute('value'); function trigger() { button.dispatchEvent(new CustomEvent('clipboard-copy', { bubbles: true })); } if (text) { copyText(text).then(trigger); } else if (id) { const root = 'getRootNode' in Element.prototype ? button.getRootNode() : button.ownerDocument; if (!(root instanceof Document || 'ShadowRoot' in window && root instanceof ShadowRoot)) return; const node = root.getElementById(id); if (node) copyTarget(node).then(trigger); } } function copyTarget(content) { if (content instanceof HTMLInputElement || content instanceof HTMLTextAreaElement) { return copyText(content.value); } else if (content instanceof HTMLAnchorElement && content.hasAttribute('href')) { return copyText(content.href); } else { return copyNode(content); } } function clicked(event) { const button = event.currentTarget; if (button instanceof HTMLElement) { copy(button); } } function keydown(event) { if (event.key === ' ' || event.key === 'Enter') { const button = event.currentTarget; if (button instanceof HTMLElement) { event.preventDefault(); copy(button); } } } function focused(event) { event.currentTarget.addEventListener('keydown', keydown); } function blurred(event) { event.currentTarget.removeEventListener('keydown', keydown); } class ClipboardCopyElement extends HTMLElement { constructor() { super(); this.addEventListener('click', clicked); this.addEventListener('focus', focused); this.addEventListener('blur', blurred); } connectedCallback() { if (!this.hasAttribute('tabindex')) { this.setAttribute('tabindex', '0'); } if (!this.hasAttribute('role')) { this.setAttribute('role', 'button'); } } get value() { return this.getAttribute('value') || ''; } set value(text) { this.setAttribute('value', text); } } if (!window.customElements.get('clipboard-copy')) { window.ClipboardCopyElement = ClipboardCopyElement; window.customElements.define('clipboard-copy', ClipboardCopyElement); } return ClipboardCopyElement; })); </script> <script> document.addEventListener('clipboard-copy', function(event) { const notice = event.target.querySelector('.notice') notice.hidden = false setTimeout(function() { notice.hidden = true }, 1000) }) </script> <style type="text/css"> pre { line-height: 125%; } td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; } td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; } .highlight-ipynb .hll { background-color: var(--jp-cell-editor-active-background) } .highlight-ipynb { background: var(--jp-cell-editor-background); color: 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white;--jp-layout-color2: var(--md-grey-200);--jp-layout-color3: var(--md-grey-400);--jp-layout-color4: var(--md-grey-600);--jp-inverse-layout-color0: #111111;--jp-inverse-layout-color1: var(--md-grey-900);--jp-inverse-layout-color2: var(--md-grey-800);--jp-inverse-layout-color3: var(--md-grey-700);--jp-inverse-layout-color4: var(--md-grey-600);--jp-brand-color0: var(--md-blue-900);--jp-brand-color1: var(--md-blue-700);--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-900);--jp-accent-color1: var(--md-green-700);--jp-accent-color2: var(--md-green-300);--jp-accent-color3: var(--md-green-100);--jp-warn-color0: var(--md-orange-900);--jp-warn-color1: var(--md-orange-700);--jp-warn-color2: var(--md-orange-300);--jp-warn-color3: var(--md-orange-100);--jp-error-color0: var(--md-red-900);--jp-error-color1: var(--md-red-700);--jp-error-color2: var(--md-red-300);--jp-error-color3: var(--md-red-100);--jp-success-color0: var(--md-green-900);--jp-success-color1: var(--md-green-700);--jp-success-color2: var(--md-green-300);--jp-success-color3: var(--md-green-100);--jp-info-color0: var(--md-cyan-900);--jp-info-color1: var(--md-cyan-700);--jp-info-color2: var(--md-cyan-300);--jp-info-color3: var(--md-cyan-100);--jp-cell-padding: 5px;--jp-cell-collapser-width: 8px;--jp-cell-collapser-min-height: 20px;--jp-cell-collapser-not-active-hover-opacity: .6;--jp-cell-editor-background: var(--md-grey-100);--jp-cell-editor-border-color: var(--md-grey-300);--jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);--jp-cell-editor-active-background: var(--jp-layout-color0);--jp-cell-editor-active-border-color: var(--jp-brand-color1);--jp-cell-prompt-width: 64px;--jp-cell-prompt-font-family: var(--jp-code-font-family-default);--jp-cell-prompt-letter-spacing: 0px;--jp-cell-prompt-opacity: 1;--jp-cell-prompt-not-active-opacity: .5;--jp-cell-prompt-not-active-font-color: var(--md-grey-700);--jp-cell-inprompt-font-color: #307fc1;--jp-cell-outprompt-font-color: #bf5b3d;--jp-notebook-padding: 10px;--jp-notebook-select-background: var(--jp-layout-color1);--jp-notebook-multiselected-color: var(--md-blue-50);--jp-notebook-scroll-padding: calc( 100% - var(--jp-code-font-size) * var(--jp-code-line-height) - var(--jp-code-padding) - var(--jp-cell-padding) - 1px );--jp-rendermime-error-background: #fdd;--jp-rendermime-table-row-background: var(--md-grey-100);--jp-rendermime-table-row-hover-background: var(--md-light-blue-50);--jp-dialog-background: rgba(0, 0, 0, .25);--jp-console-padding: 10px;--jp-toolbar-border-color: var(--jp-border-color1);--jp-toolbar-micro-height: 8px;--jp-toolbar-background: var(--jp-layout-color1);--jp-toolbar-box-shadow: 0px 0px 2px 0px rgba(0, 0, 0, .24);--jp-toolbar-header-margin: 4px 4px 0px 4px;--jp-toolbar-active-background: var(--md-grey-300);--jp-statusbar-height: 24px;--jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);--jp-input-active-background: var(--jp-layout-color1);--jp-input-hover-background: var(--jp-layout-color1);--jp-input-background: var(--md-grey-100);--jp-input-border-color: var(--jp-inverse-border-color);--jp-input-active-border-color: var(--jp-brand-color1);--jp-input-active-box-shadow-color: rgba(19, 124, 189, .3);--jp-editor-selected-background: #d9d9d9;--jp-editor-selected-focused-background: #d7d4f0;--jp-editor-cursor-color: var(--jp-ui-font-color0);--jp-mirror-editor-keyword-color: #008000;--jp-mirror-editor-atom-color: #88f;--jp-mirror-editor-number-color: #080;--jp-mirror-editor-def-color: #00f;--jp-mirror-editor-variable-color: var(--md-grey-900);--jp-mirror-editor-variable-2-color: #05a;--jp-mirror-editor-variable-3-color: #085;--jp-mirror-editor-punctuation-color: #05a;--jp-mirror-editor-property-color: #05a;--jp-mirror-editor-operator-color: #aa22ff;--jp-mirror-editor-comment-color: #408080;--jp-mirror-editor-string-color: #ba2121;--jp-mirror-editor-string-2-color: #708;--jp-mirror-editor-meta-color: #aa22ff;--jp-mirror-editor-qualifier-color: #555;--jp-mirror-editor-builtin-color: #008000;--jp-mirror-editor-bracket-color: #997;--jp-mirror-editor-tag-color: #170;--jp-mirror-editor-attribute-color: #00c;--jp-mirror-editor-header-color: blue;--jp-mirror-editor-quote-color: #090;--jp-mirror-editor-link-color: #00c;--jp-mirror-editor-error-color: #f00;--jp-mirror-editor-hr-color: #999;--jp-collaborator-color1: #ffad8e;--jp-collaborator-color2: #dac83d;--jp-collaborator-color3: #72dd76;--jp-collaborator-color4: #00e4d0;--jp-collaborator-color5: #45d4ff;--jp-collaborator-color6: #e2b1ff;--jp-collaborator-color7: #ff9de6;--jp-vega-background: white;--jp-sidebar-min-width: 250px;--jp-search-toggle-off-opacity: .5;--jp-search-toggle-hover-opacity: .8;--jp-search-toggle-on-opacity: 1;--jp-search-selected-match-background-color: rgb(245, 200, 0);--jp-search-selected-match-color: black;--jp-search-unselected-match-background-color: var( --jp-inverse-layout-color0 );--jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);--jp-icon-contrast-color0: var(--md-purple-600);--jp-icon-contrast-color1: var(--md-green-600);--jp-icon-contrast-color2: var(--md-pink-600);--jp-icon-contrast-color3: var(--md-blue-600);--jp-jupyter-icon-color: #f37626;--jp-notebook-icon-color: #f37626;--jp-json-icon-color: var(--md-orange-700);--jp-console-icon-background-color: var(--md-blue-700);--jp-console-icon-color: white;--jp-terminal-icon-background-color: var(--md-grey-800);--jp-terminal-icon-color: var(--md-grey-200);--jp-text-editor-icon-color: var(--md-grey-700);--jp-inspector-icon-color: var(--md-grey-700);--jp-switch-color: var(--md-grey-400);--jp-switch-true-position-color: var(--md-orange-900)}[data-md-color-scheme=slate] .jupyter-wrapper{--jp-shadow-base-lightness: 32;--jp-shadow-umbra-color: rgba( var(--jp-shadow-base-lightness), var(--jp-shadow-base-lightness), 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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: 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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: 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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: 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} .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/replicate_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-replicate-llava-fuyu-8b-minigpt4-models-for-image-reasoning">Multi-Modal LLM using Replicate LlaVa, Fuyu 8B, MiniGPT4 models for image reasoning<a class="anchor-link" href="#multi-modal-llm-using-replicate-llava-fuyu-8b-minigpt4-models-for-image-reasoning">¶</a></h1><p>In this notebook, we show how to use MultiModal LLM class for image understanding/reasoning. We now support:</p> <ul> <li><a href="https://github.com/haotian-liu/LLaVA">LLava-13B</a></li> <li><a href="https://www.adept.ai/blog/fuyu-8b">Fuyu-8B</a></li> <li><a href="https://minigpt-4.github.io/">MiniGPT-4</a></li> </ul> <p>In the 2nd part, we show how to use stream complete and aync complate for Replicate.</p> <p><strong>NOTE</strong>: At the moment, the Replicate multi-modal LLMs only support one image document at a time.</p> </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=d9922041"> <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">replicate</span> </pre></div> <div class="clipboard-copy-txt" id="cell-1">%pip install llama-index-multi-modal-llms-replicate</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="o">%</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">replicate</span> </pre></div> <div class="clipboard-copy-txt" id="cell-2">% pip install replicate</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="load-and-initialize-replicate">Load and initialize Replicate<a class="anchor-link" href="#load-and-initialize-replicate">¶</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">REPLICATE_API_TOKEN</span> <span class="o">=</span> <span class="s2">""</span> <span class="c1"># Your Relicate 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">"REPLICATE_API_TOKEN"</span><span class="p">]</span> <span class="o">=</span> <span class="n">REPLICATE_API_TOKEN</span> </pre></div> <div class="clipboard-copy-txt" id="cell-3">import os REPLICATE_API_TOKEN = "" # Your Relicate API token here os.environ["REPLICATE_API_TOKEN"] = REPLICATE_API_TOKEN</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=e868ebdf"> <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="download-images-and-load-images-locally">Download Images and Load Images locally<a class="anchor-link" href="#download-images-and-load-images-locally">¶</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=e3570529"> <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">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">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="kn">from</span> <span class="nn">llama_index.core.schema</span> <span class="kn">import</span> <span class="n">ImageDocument</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">exists</span><span class="p">(</span><span class="s2">"test_images"</span><span class="p">):</span> <span class="n">os</span><span class="o">.</span><span class="n">makedirs</span><span class="p">(</span><span class="s2">"test_images"</span><span class="p">)</span> <span class="c1"># for now fuyu-8b model on replicate can mostly handle JPG image urls well instead of local files</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="s2">"https://www.sportsnet.ca/wp-content/uploads/2023/11/CP1688996471-1040x572.jpg"</span><span class="p">,</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="s2">"https://www.cleverfiles.com/howto/wp-content/uploads/2018/03/minion.jpg"</span><span class="p">,</span> <span class="p">]</span> <span class="c1"># save images</span> <span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">image_url</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">image_urls</span><span class="p">):</span> <span class="n">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_url</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">response</span><span class="o">.</span><span class="n">content</span><span class="p">))</span> <span class="n">img</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="sa">f</span><span class="s2">"test_images/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.png"</span><span class="p">)</span> <span class="c1"># option 1: load images from urls directly</span> <span class="c1"># image_documents = load_image_urls(image_urls)</span> <span class="c1"># option 2: load images from local</span> <span class="n">image_documents</span> <span class="o">=</span> <span class="p">[</span> <span class="n">ImageDocument</span><span class="p">(</span><span class="n">image_path</span><span class="o">=</span><span class="sa">f</span><span class="s2">"test_images/</span><span class="si">{</span><span class="n">idx</span><span class="si">}</span><span class="s2">.png"</span><span class="p">)</span> <span class="k">for</span> <span class="n">idx</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">image_urls</span><span class="p">))</span> <span class="p">]</span> </pre></div> <div class="clipboard-copy-txt" id="cell-4">from PIL import Image import requests from io import BytesIO from llama_index.core.multi_modal_llms.generic_utils import load_image_urls from llama_index.core.schema import ImageDocument if not os.path.exists("test_images"): os.makedirs("test_images") # for now fuyu-8b model on replicate can mostly handle JPG image urls well instead of local files 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", ] # save images for idx, image_url in enumerate(image_urls): response = requests.get(image_url) img = Image.open(BytesIO(response.content)) img.save(f"test_images/{idx}.png") # option 1: load images from urls directly # image_documents = load_image_urls(image_urls) # option 2: load images from local image_documents = [ ImageDocument(image_path=f"test_images/{idx}.png") for idx in range(len(image_urls)) ]</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=04d16500"> <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="visualize-images">Visualize images<a class="anchor-link" href="#visualize-images">¶</a></h3> </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=5508524c"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-5"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span> <span class="kn">from</span> <span class="nn">llama_index.core.response.notebook_utils</span> <span class="kn">import</span> <span class="n">display_image_uris</span> <span class="n">image_paths</span> <span class="o">=</span> <span class="p">[</span><span class="nb">str</span><span class="p">(</span><span class="n">img_doc</span><span class="o">.</span><span class="n">image_path</span><span class="p">)</span> <span class="k">for</span> <span class="n">img_doc</span> <span class="ow">in</span> <span class="n">image_documents</span><span class="p">]</span> <span class="n">display_image_uris</span><span class="p">(</span><span class="n">image_paths</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-5">import matplotlib.pyplot as plt from llama_index.core.response.notebook_utils import display_image_uris image_paths = [str(img_doc.image_path) for img_doc in image_documents] display_image_uris(image_paths)</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-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=09c2ff7e"> <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="provide-various-prompts-to-test-different-multi-modal-llms">Provide various prompts to test different Multi Modal LLMs<a class="anchor-link" href="#provide-various-prompts-to-test-different-multi-modal-llms">¶</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=99e2a657"> <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="kn">from</span> <span class="nn">llama_index.multi_modal_llms.replicate</span> <span class="kn">import</span> <span class="n">ReplicateMultiModal</span> <span class="kn">from</span> <span class="nn">llama_index.multi_modal_llms.replicate.base</span> <span class="kn">import</span> <span class="p">(</span> <span class="n">REPLICATE_MULTI_MODAL_LLM_MODELS</span><span class="p">,</span> <span class="p">)</span> <span class="n">prompts</span> <span class="o">=</span> <span class="p">[</span> <span class="s2">"what is shown in this image?"</span><span class="p">,</span> <span class="s2">"how many people are shown in the image?"</span><span class="p">,</span> <span class="s2">"is there anything unusual in the image?"</span><span class="p">,</span> <span class="p">]</span> </pre></div> <div class="clipboard-copy-txt" id="cell-6">from llama_index.multi_modal_llms.replicate import ReplicateMultiModal from llama_index.multi_modal_llms.replicate.base import ( REPLICATE_MULTI_MODAL_LLM_MODELS, ) prompts = [ "what is shown in this image?", "how many people are shown in the image?", "is there anything unusual in the image?", ]</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=7dbb0234"> <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="generate-image-reasoning-from-different-llms-with-different-prompts-for-different-images">Generate Image Reasoning from different LLMs with different prompts for different images<a class="anchor-link" href="#generate-image-reasoning-from-different-llms-with-different-prompts-for-different-images">¶</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=cd64f515"> <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="n">res</span> <span class="o">=</span> <span class="p">[]</span> <span class="k">for</span> <span class="n">prompt_idx</span><span class="p">,</span> <span class="n">prompt</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">prompts</span><span class="p">):</span> <span class="k">for</span> <span class="n">image_idx</span><span class="p">,</span> <span class="n">image_doc</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">image_documents</span><span class="p">):</span> <span class="k">for</span> <span class="n">llm_idx</span><span class="p">,</span> <span class="n">llm_model</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">REPLICATE_MULTI_MODAL_LLM_MODELS</span><span class="p">):</span> <span class="k">try</span><span class="p">:</span> <span class="c1">## Initialize the MultiModal LLM model</span> <span class="n">multi_modal_llm</span> <span class="o">=</span> <span class="n">ReplicateMultiModal</span><span class="p">(</span> <span class="n">model</span><span class="o">=</span><span class="n">REPLICATE_MULTI_MODAL_LLM_MODELS</span><span class="p">[</span><span class="n">llm_model</span><span class="p">],</span> <span class="n">max_new_tokens</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">num_input_files</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">top_p</span><span class="o">=</span><span class="mf">0.9</span><span class="p">,</span> <span class="n">num_beams</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">repetition_penalty</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="p">)</span> <span class="n">mm_resp</span> <span class="o">=</span> <span class="n">multi_modal_llm</span><span class="o">.</span><span class="n">complete</span><span class="p">(</span> <span class="n">prompt</span><span class="o">=</span><span class="n">prompt</span><span class="p">,</span> <span class="n">image_documents</span><span class="o">=</span><span class="p">[</span><span class="n">image_doc</span><span class="p">],</span> <span class="p">)</span> <span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span> <span class="nb">print</span><span class="p">(</span> <span class="sa">f</span><span class="s2">"Error with LLM model inference with prompt </span><span class="si">{</span><span class="n">prompt</span><span class="si">}</span><span class="s2">, image </span><span class="si">{</span><span class="n">image_idx</span><span class="si">}</span><span class="s2">, and MM model </span><span class="si">{</span><span class="n">llm_model</span><span class="si">}</span><span class="s2">"</span> <span class="p">)</span> <span class="nb">print</span><span class="p">(</span><span class="s2">"Inference Failed due to: "</span><span class="p">,</span> <span class="n">e</span><span class="p">)</span> <span class="k">continue</span> <span class="n">res</span><span class="o">.</span><span class="n">append</span><span class="p">(</span> <span class="p">{</span> <span class="s2">"model"</span><span class="p">:</span> <span class="n">llm_model</span><span class="p">,</span> <span class="s2">"prompt"</span><span class="p">:</span> <span class="n">prompt</span><span class="p">,</span> <span class="s2">"response"</span><span class="p">:</span> <span class="n">mm_resp</span><span class="p">,</span> <span class="s2">"image"</span><span class="p">:</span> <span class="nb">str</span><span class="p">(</span><span class="n">image_doc</span><span class="o">.</span><span class="n">image_path</span><span class="p">),</span> <span class="p">}</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-7">res = [] for prompt_idx, prompt in enumerate(prompts): for image_idx, image_doc in enumerate(image_documents): for llm_idx, llm_model in enumerate(REPLICATE_MULTI_MODAL_LLM_MODELS): try: ## Initialize the MultiModal LLM model multi_modal_llm = ReplicateMultiModal( model=REPLICATE_MULTI_MODAL_LLM_MODELS[llm_model], max_new_tokens=100, temperature=0.1, num_input_files=1, top_p=0.9, num_beams=1, repetition_penalty=1, ) mm_resp = multi_modal_llm.complete( prompt=prompt, image_documents=[image_doc], ) except Exception as e: print( f"Error with LLM model inference with prompt {prompt}, image {image_idx}, and MM model {llm_model}" ) print("Inference Failed due to: ", e) continue res.append( { "model": llm_model, "prompt": prompt, "response": mm_resp, "image": str(image_doc.image_path), } )</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=cef9d0f8"> <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="display-sampled-responses-from-multi-modal-llms">Display Sampled Responses from Multi-Modal LLMs<a class="anchor-link" href="#display-sampled-responses-from-multi-modal-llms">¶</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=93f4e581"> <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="kn">from</span> <span class="nn">IPython.display</span> <span class="kn">import</span> <span class="n">display</span> <span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span> <span class="n">pd</span><span class="o">.</span><span class="n">options</span><span class="o">.</span><span class="n">display</span><span class="o">.</span><span class="n">max_colwidth</span> <span class="o">=</span> <span class="kc">None</span> <span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">res</span><span class="p">)</span> <span class="n">display</span><span class="p">(</span><span class="n">df</span><span class="p">[:</span><span class="mi">5</span><span class="p">])</span> </pre></div> <div class="clipboard-copy-txt" id="cell-8">from IPython.display import display import pandas as pd pd.options.display.max_colwidth = None df = pd.DataFrame(res) display(df[:5])</div> </div> </div> </div> </div> <div class="jp-Cell-outputWrapper"> <div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser"> </div> <div class="jp-OutputArea jp-Cell-outputArea"> <div class="jp-OutputArea-child"> <div class="jp-OutputPrompt jp-OutputArea-prompt"></div> <div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output" data-mime-type="text/html" tabindex="0"> <div> <style scoped=""> .dataframe tbody tr th:only-of-type { vertical-align: middle; } .dataframe tbody tr th { vertical-align: top; } .dataframe thead th { text-align: right; } </style> <table border="1" class="dataframe"> <thead> <tr style="text-align: right;"> <th></th> <th>model</th> <th>prompt</th> <th>response</th> <th>image</th> </tr> </thead> <tbody> <tr> <th>0</th> <td>llava-13b</td> <td>what is shown in this image?</td> <td>The image shows a man holding a gold trophy, possibly a soccer trophy, while wearing a suit and tie.</td> <td>test_images/0.png</td> </tr> <tr> <th>1</th> <td>fuyu-8b</td> <td>what is shown in this image?</td> <td> The image shows a man wearing a suit and holding a golden ball trophy.</td> <td>test_images/0.png</td> </tr> <tr> <th>2</th> <td>minigpt-4</td> <td>what is shown in this image?</td> <td>The image shows a man in a black suit and tie holding a golden trophy.</td> <td>test_images/0.png</td> </tr> <tr> <th>3</th> <td>llava-13b</td> <td>what is shown in this image?</td> <td>The image shows a large, illuminated building, which is the Colosseum in Rome, Italy. The building is lit up at night, and the lights create a beautiful and dramatic effect.</td> <td>test_images/1.png</td> </tr> <tr> <th>4</th> <td>fuyu-8b</td> <td>what is shown in this image?</td> <td> The image showcases a city street at night, with colorful lights illuminating the scene. The street is lined with buildings, including a prominent Roman-style amphitheater.</td> <td>test_images/1.png</td> </tr> </tbody> </table> </div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=01fb4562"> <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="human-label-the-correctness-and-relevance-of-the-multi-modal-llm-reasoning-results">Human Label the Correctness and Relevance of the Multi-Modal LLM Reasoning Results<a class="anchor-link" href="#human-label-the-correctness-and-relevance-of-the-multi-modal-llm-reasoning-results">¶</a></h2><p>Note that Human Lable could have some bias/subjectivity when label relevance and correctness.</p> <p>We label the Correctness and Relevance scores between [1, 5]</p> <ul> <li>5: perfectly answer the question</li> <li>4: somehow answer the question</li> <li>3: partly answer the question</li> <li>2: answer the question with wrong answer</li> <li>1: no answer or <code>hallucination</code></li> </ul> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5c321426"> <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"> <table> <thead> <tr> <th>Model</th> <th>Prompt/Question</th> <th>Model Reasoning Results</th> <th>Correctness and relevance [1,5]</th> <th>image</th> </tr> </thead> <tbody> <tr> <td>llava-13b</td> <td>what is shown in this image?</td> <td>The image shows a man holding a trophy, which appears to be a gold soccer ball. He is dressed in a suit and tie, and he is smiling as he holds the trophy.</td> <td>4</td> <td>test_images/0.png</td> </tr> <tr> <td>fuyu-8b</td> <td>what is shown in this image?</td> <td> The image shows a man wearing a suit and holding a golden ball trophy.</td> <td>4</td> <td>test_images/0.png</td> </tr> <tr> <td>minigpt-4</td> <td>what is shown in this image?</td> <td>The image shows a man in a black suit and tie holding a golden trophy.</td> <td>4</td> <td>test_images/0.png</td> </tr> <tr> <td>llava-13b</td> <td>what is shown in this image?</td> <td>The image shows a large, illuminated building, likely a historical monument or a famous landmark, at night. The building is lit up with colored lights, creating a visually striking scene.</td> <td>4</td> <td>test_images/1.png</td> </tr> <tr> <td>fuyu-8b</td> <td>what is shown in this image?</td> <td> The image showcases a city street at night, with colorful lights illuminating the scene. The street is lined with buildings, including a prominent Roman-style amphitheater.</td> <td>4</td> <td>test_images/1.png</td> </tr> <tr> <td>minigpt-4</td> <td>what is shown in this image?</td> <td>The image shows the Colosseum, a large amphitheater in Rome, Italy. It is one of the most famous landmarks in the city and is a popular tourist attraction.</td> <td>5</td> <td>test_images/1.png</td> </tr> <tr> <td>llava-13b</td> <td>what is shown in this image?</td> <td>The image shows two animated minion characters from the movie "Despicable Me" standing next to each other.</td> <td>5</td> <td>test_images/2.png</td> </tr> <tr> <td>fuyu-8b</td> <td>what is shown in this image?</td> <td> The image features two minion figures, one wearing overalls and the other wearing goggles. They are standing next to each other, possibly engaged in conversation or posing for a photo.</td> <td>5</td> <td>test_images/2.png</td> </tr> <tr> <td>minigpt-4</td> <td>what is shown in this image?</td> <td>The image shows two minions, one with a yellow overalls and the other with a blue overalls, both wearing sunglasses and standing next to each other.</td> <td>4</td> <td>test_images/2.png</td> </tr> <tr> <td>llava-13b</td> <td>how many people are shown in the image?</td> <td>There is only one person shown in the image, a man holding a trophy.</td> <td>5</td> <td>test_images/0.png</td> </tr> <tr> <td>fuyu-8b</td> <td>how many people are shown in the image?</td> <td> In the image, there is a man wearing a suit and holding a golden ball or trophy.</td> <td>5</td> <td>test_images/0.png</td> </tr> <tr> <td>minigpt-4</td> <td>how many people are shown in the image?</td> <td>I'm sorry, but I cannot see the image you provided. Can you please provide the image again?</td> <td>NA</td> <td>test_images/0.png</td> </tr> <tr> <td>llava-13b</td> <td>how many people are shown in the image?</td> <td>There are two people shown in the image.</td> <td>1</td> <td>test_images/1.png</td> </tr> <tr> <td>fuyu-8b</td> <td>how many people are shown in the image?</td> <td> The image showcases a city street at night, with colorful lights illuminating the scene. The street is lined with buildings, including a prominent Roman-style amphitheater. \n\nThere are several people walking along the street, some carrying handbags. A few benches can be seen along the sidewalk, providing a place for pedestrians to rest. The atmosphere is lively, with people going about their daily activities.</td> <td>4</td> <td>test_images/1.png</td> </tr> <tr> <td>minigpt-4</td> <td>how many people are shown in the image?</td> <td>I'm sorry, but I cannot see the image you provided. Can you please provide more information or a different image?</td> <td>NA</td> <td>test_images/1.png</td> </tr> <tr> <td>llava-13b</td> <td>how many people are shown in the image?</td> <td>There are two people shown in the image.</td> <td>4</td> <td>test_images/2.png</td> </tr> <tr> <td>fuyu-8b</td> <td>how many people are shown in the image?</td> <td> There are two people shown in the image.</td> <td>4</td> <td>test_images/2.png</td> </tr> <tr> <td>minigpt-4</td> <td>how many people are shown in the image?</td> <td>There are two minions in the image.</td> <td>5</td> <td>test_images/2.png</td> </tr> <tr> <td>llava-13b</td> <td>is there anything unusual in the image?</td> <td>Yes, there is an unusual element in the image. The man is holding a gold trophy, which is not uncommon. However, he is also holding a microphone, which is an unusual combination. Typically, a person holding a microphone would be a speaker or an announcer, while a trophy is usually associated with an award or achievement. The combination of the microphone and the trophy suggests that the man might be a presenter or an announcer who is also receiving an award or acknowledging someone else's achievement.</td> <td>4</td> <td>test_images/0.png</td> </tr> <tr> <td>fuyu-8b</td> <td>is there anything unusual in the image?</td> <td> Yes, there is something unusual in the image, as there is a golden ball or trophy being held by a man wearing a suit. This is unusual because typically, sports balls or trophies are associated with competitions or achievements, rather than being worn by a person in a suit. The man holding the golden ball or trophy is wearing a suit, which adds to the peculiarity of the scene.</td> <td>3</td> <td>test_images/0.png</td> </tr> <tr> <td>minigpt-4</td> <td>is there anything unusual in the image?</td> <td>The image shows a man in a black suit and tie holding a golden trophy. The trophy has a design on it that looks like a soccer ball. The man is smiling and appears to be happy.</td> <td>3</td> <td>test_images/0.png</td> </tr> <tr> <td>llava-13b</td> <td>is there anything unusual in the image?</td> <td>Yes, there is an unusual aspect in the image. The Colosseum, a famous ancient Roman amphitheater, is lit up with colored lights, which is not a common sight. This illumination adds a unique and vibrant touch to the otherwise historical and majestic structure.</td> <td>4</td> <td>test_images/1.png</td> </tr> <tr> <td>fuyu-8b</td> <td>is there anything unusual in the image?</td> <td> Yes, the image features an unusual scene, as multiple people are walking around the colossal structure, which is an old Roman amphitheater. The amphitheater is illuminated with colorful lights, giving it a vibrant and lively atmosphere.</td> <td>3</td> <td>test_images/1.png</td> </tr> <tr> <td>minigpt-4</td> <td>is there anything unusual in the image?</td> <td>The image shows the Colosseum, a large amphitheater in Rome, Italy. It is a well known landmark and tourist attraction.</td> <td>2</td> <td>test_images/1.png</td> </tr> <tr> <td>llava-13b</td> <td>is there anything unusual in the image?</td> <td>Yes, there is something unusual in the image. The two cartoon minions are standing next to each other, but one of them has a tooth missing. This is an unusual detail, as it is not common for animated characters to have imperfections like missing teeth. The missing tooth adds a unique and interesting aspect to the image, making it stand out from typical animated scenes.</td> <td>3</td> <td>test_images/2.png</td> </tr> <tr> <td>fuyu-8b</td> <td>is there anything unusual in the image?</td> <td> Yes, there is an unusual aspect of the image, as there are two minions dressed in overalls, wearing goggles, and standing next to each other. This unusual combination is not typical, as minions are typically associated with their popular animation and movie franchises. The minions' overalls, goggles, and overalls-wearing, combined with the goggles they are wearing, adds to the peculiarity of the scene.</td> <td>2</td> <td>test_images/2.png</td> </tr> <tr> <td>minigpt-4</td> <td>is there anything unusual in the image?</td> <td>The image appears to be a cartoon character with overalls and a yellow shirt. The character is smiling and has a blue hat on its head. There is nothing unusual in the image.</td> <td>5</td> <td>test_images/2.png</td> </tr> </tbody> </table> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=51a93be4"> <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="summary-of-preliminary-findings-with-evaluated-multi-modal-models">Summary of preliminary findings with evaluated Multi-Modal Models<a class="anchor-link" href="#summary-of-preliminary-findings-with-evaluated-multi-modal-models">¶</a></h2><p>First, the purpose of this notework is to show how to leverage Replicate for serving different Multi-Modal LLMs for image reasoning tasks. There are some limitations with such comparison:</p> <ul> <li>We compared and evaluated LLaVa-13B, Fuyu-8B, and MiniGPT-4 for some simple and limited tasks/prompts.</li> <li>Note that <code>the hyperparameters for different models are the same in the example</code>. The power of hyperparamters tuning could be significant for the quality MM LLMs models.</li> <li>Human evaluation could have some Bias/Subjectivity/Noise</li> </ul> <p>Some preliminary findings:</p> <ul> <li><code>MiniGPT-4</code> sometimes can yield a more accurate answer like <code>There are two minions in the image.</code> instead of <code>There are two people shown in the image.</code> from <code>LlaVa</code> or <code>Fuyu-8B</code>. Another example is that <code>MiniGPT-4</code> answers <code>Colosseum</code> directly for the question <code>what is it in the image</code> for the Italy Colosseum image.</li> <li><code>MiniGPT-4</code> failed to give results for two prompts. It answers <code>I'm sorry, but I cannot see the image you provided.</code> But it can answer other questions for the same images. Not sure it is an issue of Replicate inference or MiniGPT-4 model itself</li> <li><code>Fuyu-8B</code> and <code>LlaVa-13B</code> usually yield longer verbose answers to the question with more context to support.</li> <li><code>Llava-13B</code> and <code>Fuyu-8B</code> sometimes yield slightly higher <code>hallucination</code> espeically for the question <code>is there anything unusual in the image?</code></li> </ul> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=bb915aae"> <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="replicate-stream-complete-async-complete-async-stream-complete-mode">Replicate Stream Complete, Async Complete, Async Stream Complete Mode<a class="anchor-link" href="#replicate-stream-complete-async-complete-async-stream-complete-mode">¶</a></h2> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=51161d09"> <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="init-fuyu-8b-model">Init Fuyu-8B Model<a class="anchor-link" href="#init-fuyu-8b-model">¶</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=57bf3bb5"> <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="n">multi_modal_llm</span> <span class="o">=</span> <span class="n">ReplicateMultiModal</span><span class="p">(</span> <span class="n">model</span><span class="o">=</span><span class="n">REPLICATE_MULTI_MODAL_LLM_MODELS</span><span class="p">[</span><span class="s2">"fuyu-8b"</span><span class="p">],</span> <span class="n">max_new_tokens</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">temperature</span><span class="o">=</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">num_input_files</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">top_p</span><span class="o">=</span><span class="mf">0.9</span><span class="p">,</span> <span class="n">num_beams</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">repetition_penalty</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-9">multi_modal_llm = ReplicateMultiModal( model=REPLICATE_MULTI_MODAL_LLM_MODELS["fuyu-8b"], max_new_tokens=100, temperature=0.1, num_input_files=1, top_p=0.9, num_beams=1, repetition_penalty=1, )</div> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=5d56bed6"> <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="using-async-stream-complete">Using async stream complete<a class="anchor-link" href="#using-async-stream-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=484fbb16"> <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="n">resp</span> <span class="o">=</span> <span class="k">await</span> <span class="n">multi_modal_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">"tell me about this image"</span><span class="p">,</span> <span class="n">image_documents</span><span class="o">=</span><span class="p">[</span><span class="n">image_documents</span><span class="p">[</span><span class="mi">0</span><span class="p">]],</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-10">resp = await multi_modal_llm.astream_complete( prompt="tell me about this image", image_documents=[image_documents[0]], )</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=5059c60e"> <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">async</span> <span class="k">for</span> <span class="n">delta</span> <span class="ow">in</span> <span class="n">resp</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-11">async for delta in resp: 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 features a man wearing a suit and tie, standing in front of a stage with a backdrop. He is holding a golden ball trophy, possibly an award, in his hands. The man appears to be posing for a photo, possibly celebrating his achievement or receiving an award. In the background, there are multiple people visible, possibly attending or participating in the event. The backdrop appears to be a large screen, possibly displaying information about the event or ceremony.</pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=3c1f57e7"> <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="using-async-complete">Using async complete<a class="anchor-link" href="#using-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=ee081c18"> <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="n">resp</span> <span class="o">=</span> <span class="k">await</span> <span class="n">multi_modal_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">"tell me about this image"</span><span class="p">,</span> <span class="n">image_documents</span><span class="o">=</span><span class="p">[</span><span class="n">image_documents</span><span class="p">[</span><span class="mi">0</span><span class="p">]],</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-12">resp = await multi_modal_llm.acomplete( prompt="tell me about this image", image_documents=[image_documents[0]], )</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=e55244c2"> <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="nb">print</span><span class="p">(</span><span class="n">resp</span><span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-13">print(resp)</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 features a man wearing a suit and tie, standing in front of a stage with a backdrop. He is holding a golden ball trophy, possibly an award, in his hands. The man appears to be posing for a photo, possibly celebrating his achievement or receiving an award. In the background, there are multiple people visible, possibly attending or participating in the event. The backdrop appears to be a large screen, possibly displaying information about the event or ceremony. </pre> </div> </div> </div> </div> </div> </div> <div class="jp-Cell jp-MarkdownCell jp-Notebook-cell" id="cell-id=673d8b07"> <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="using-stream-complete">Using stream complete<a class="anchor-link" href="#using-stream-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=8dde10d8"> <div class="jp-Cell-inputWrapper" tabindex="0"> <div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser"> </div> <div class="jp-InputArea jp-Cell-inputArea"> <div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div><div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline"> <div class="CodeMirror cm-s-jupyter"> <div class="zeroclipboard-container"> <clipboard-copy for="cell-14"> <div> <span class="notice" hidden="">Copied!</span> <svg aria-hidden="true" class="clipboard-copy-icon" data-view-component="true" height="20" version="1.1" viewbox="0 0 16 16" width="20"> <path d="M0 6.75C0 5.784.784 5 1.75 5h1.5a.75.75 0 010 1.5h-1.5a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-1.5a.75.75 0 011.5 0v1.5A1.75 1.75 0 019.25 16h-7.5A1.75 1.75 0 010 14.25v-7.5z" fill="currentColor" fill-rule="evenodd"></path> <path d="M5 1.75C5 .784 5.784 0 6.75 0h7.5C15.216 0 16 .784 16 1.75v7.5A1.75 1.75 0 0114.25 11h-7.5A1.75 1.75 0 015 9.25v-7.5zm1.75-.25a.25.25 0 00-.25.25v7.5c0 .138.112.25.25.25h7.5a.25.25 0 00.25-.25v-7.5a.25.25 0 00-.25-.25h-7.5z" fill="currentColor" fill-rule="evenodd"></path> </svg> </div> </clipboard-copy> </div> <div class="highlight-ipynb hl-python"><pre><span></span><span class="n">resp</span> <span class="o">=</span> <span class="n">multi_modal_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">"tell me about this image"</span><span class="p">,</span> <span class="n">image_documents</span><span class="o">=</span><span class="p">[</span><span class="n">image_documents</span><span class="p">[</span><span class="mi">0</span><span class="p">]],</span> <span class="p">)</span> </pre></div> <div class="clipboard-copy-txt" id="cell-14">resp = multi_modal_llm.stream_complete( prompt="tell me about this image", image_documents=[image_documents[0]], )</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=98f03545"> <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="k">for</span> <span class="n">delta</span> <span class="ow">in</span> <span class="n">resp</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-15">for delta in resp: 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 features a man wearing a suit and tie, standing in front of a stage with a backdrop. He is holding a golden ball trophy, possibly an award, in his hands. The man appears to be posing for a photo, possibly celebrating his achievement or receiving an award. In the background, there are multiple people visible, possibly attending or participating in the event. The backdrop appears to be a large screen, possibly displaying information about the event or ceremony.</pre> </div> </div> </div> </div> </div> </div> </div>  </div>  <style> ['pre { line-height: 125%; }\ntd.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\nspan.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\ntd.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\nspan.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n.highlight-ipynb .hll { background-color: var(--jp-cell-editor-active-background) }\n.highlight-ipynb { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }\n.highlight-ipynb .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */\n.highlight-ipynb .err { color: 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*/\n.highlight-ipynb .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */\n.highlight-ipynb .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */\n.highlight-ipynb .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */\n.highlight-ipynb .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */\n.highlight-ipynb .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */\n.highlight-ipynb .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */\n.highlight-ipynb .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */\n.highlight-ipynb .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */\n.highlight-ipynb .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */\n.highlight-ipynb .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */\n.highlight-ipynb .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */'] </style> </article> </div> <script>var target=document.getElementById(location.hash.slice(1));target&&target.name&&(target.checked=target.name.startsWith("__tabbed_"))</script> </div> <button type="button" class="md-top md-icon" data-md-component="top" hidden> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M13 20h-2V8l-5.5 5.5-1.42-1.42L12 4.16l7.92 7.92-1.42 1.42L13 8z"/></svg> Back to top </button> </main> <footer class="md-footer"> <nav class="md-footer__inner md-grid" aria-label="Footer" > <a href="../openvino_multimodal/" class="md-footer__link md-footer__link--prev" aria-label="Previous: Local Multimodal pipeline with OpenVINO"> <div class="md-footer__button md-icon"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11z"/></svg> </div> <div class="md-footer__title"> <span 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