langchain/docs/api_reference/guide_imports.json

{
    "HuggingFaceBgeEmbeddings": {
        "BGE Hugging Face Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bge_huggingface"
    },
    "XinferenceEmbeddings": {
        "Xorbits inference (Xinference)": "https://python.langchain.com/docs/integrations/text_embedding/xinference"
    },
    "DeepInfraEmbeddings": {
        "DeepInfra": "https://python.langchain.com/docs/integrations/text_embedding/deepinfra"
    },
    "HuggingFaceEmbeddings": {
        "Hugging Face Hub": "https://python.langchain.com/docs/integrations/text_embedding/huggingfacehub",
        "Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers",
        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
        "Hugging Face": "https://python.langchain.com/docs/integrations/providers/huggingface",
        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann",
        "Annoy": "https://python.langchain.com/docs/integrations/vectorstores/annoy",
        "Pairwise Embedding Distance ": "https://python.langchain.com/docs/guides/evaluation/comparison/pairwise_embedding_distance",
        "Embedding Distance": "https://python.langchain.com/docs/guides/evaluation/string/embedding_distance",
        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder"
    },
    "GPT4AllEmbeddings": {
        "GPT4All": "https://python.langchain.com/docs/integrations/text_embedding/gpt4all",
        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research"
    },
    "MosaicMLInstructorEmbeddings": {
        "MosaicML embeddings": "https://python.langchain.com/docs/integrations/text_embedding/mosaicml"
    },
    "OpenAIEmbeddings": {
        "OpenAI": "https://python.langchain.com/docs/integrations/providers/openai",
        "AzureOpenAI": "https://python.langchain.com/docs/integrations/text_embedding/azureopenai",
        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
        "kNN": "https://python.langchain.com/docs/integrations/retrievers/knn",
        "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever",
        "SVM": "https://python.langchain.com/docs/integrations/retrievers/svm",
        "Pinecone Hybrid Search": "https://python.langchain.com/docs/integrations/retrievers/pinecone_hybrid_search",
        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
        "Azure OpenAI": "https://python.langchain.com/docs/integrations/providers/azure_openai",
        "Document Comparison": "https://python.langchain.com/docs/integrations/toolkits/document_comparison_toolkit",
        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
        "LanceDB": "https://python.langchain.com/docs/integrations/vectorstores/lancedb",
        "Weaviate": "https://python.langchain.com/docs/integrations/vectorstores/weaviate",
        "Xata": "https://python.langchain.com/docs/integrations/vectorstores/xata",
        "Redis": "https://python.langchain.com/docs/integrations/vectorstores/redis",
        "PGVector": "https://python.langchain.com/docs/integrations/vectorstores/pgvector",
        "Rockset": "https://python.langchain.com/docs/integrations/vectorstores/rockset",
        "Dingo": "https://python.langchain.com/docs/integrations/vectorstores/dingo",
        "Zilliz": "https://python.langchain.com/docs/integrations/vectorstores/zilliz",
        "SingleStoreDB": "https://python.langchain.com/docs/integrations/vectorstores/singlestoredb",
        "Typesense": "https://python.langchain.com/docs/integrations/vectorstores/typesense",
        "Atlas": "https://python.langchain.com/docs/integrations/vectorstores/atlas",
        "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/activeloop_deeplake",
        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
        "Alibaba Cloud OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/alibabacloud_opensearch",
        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
        "scikit-learn": "https://python.langchain.com/docs/integrations/vectorstores/sklearn",
        "DocArrayHnswSearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_hnsw",
        "MyScale": "https://python.langchain.com/docs/integrations/vectorstores/myscale",
        "ClickHouse Vector Search": "https://python.langchain.com/docs/integrations/vectorstores/clickhouse",
        "Qdrant": "https://python.langchain.com/docs/integrations/vectorstores/qdrant",
        "Tigris": "https://python.langchain.com/docs/integrations/vectorstores/tigris",
        "Supabase (Postgres)": "https://python.langchain.com/docs/integrations/vectorstores/supabase",
        "OpenSearch": "https://python.langchain.com/docs/integrations/vectorstores/opensearch",
        "Pinecone": "https://python.langchain.com/docs/integrations/vectorstores/pinecone",
        "Azure Cognitive Search": "https://python.langchain.com/docs/integrations/vectorstores/azuresearch",
        "Cassandra": "https://python.langchain.com/docs/integrations/vectorstores/cassandra",
        "USearch": "https://python.langchain.com/docs/integrations/vectorstores/usearch",
        "Milvus": "https://python.langchain.com/docs/integrations/vectorstores/milvus",
        "Elasticsearch": "https://python.langchain.com/docs/integrations/vectorstores/elasticsearch",
        "DocArrayInMemorySearch": "https://python.langchain.com/docs/integrations/vectorstores/docarray_in_memory",
        "pg_embedding": "https://python.langchain.com/docs/integrations/vectorstores/pgembedding",
        "FAISS": "https://python.langchain.com/docs/integrations/vectorstores/faiss",
        "AnalyticDB": "https://python.langchain.com/docs/integrations/vectorstores/analyticdb",
        "Hologres": "https://python.langchain.com/docs/integrations/vectorstores/hologres",
        "MongoDB Atlas": "https://python.langchain.com/docs/integrations/vectorstores/mongodb_atlas",
        "Meilisearch": "https://python.langchain.com/docs/integrations/vectorstores/meilisearch",
        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
        "Caching integrations": "https://python.langchain.com/docs/integrations/llms/llm_caching",
        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
        "AutoGPT": "https://python.langchain.com/docs/use_cases/autonomous_agents/autogpt",
        "BabyAGI User Guide": "https://python.langchain.com/docs/use_cases/agents/baby_agi",
        "BabyAGI with Tools": "https://python.langchain.com/docs/use_cases/agents/baby_agi_with_agent",
        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
        "Conversational Retrieval Agent": "https://python.langchain.com/docs/use_cases/question_answering/how_to/conversational_retrieval_agents",
        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
        "Retrieve as you generate with FLARE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/flare",
        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
        "Analysis of Twitter the-algorithm source code with LangChain, GPT4 and Activeloop's Deep Lake": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/twitter-the-algorithm-analysis-deeplake",
        "Use LangChain, GPT and Activeloop's Deep Lake to work with code base": "https://python.langchain.com/docs/use_cases/question_answering/how_to/code/code-analysis-deeplake",
        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
        "Plug-and-Plai": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval_using_plugnplai",
        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
        "Custom Agent with PlugIn Retrieval": "https://python.langchain.com/docs/use_cases/agents/custom_agent_with_plugin_retrieval",
        "Generative Agents in LangChain": "https://python.langchain.com/docs/use_cases/agent_simulations/characters",
        "Caching Embeddings": "https://python.langchain.com/docs/modules/data_connection/caching_embeddings",
        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
        "Weaviate self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/weaviate_self_query",
        "Elasticsearch self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/elasticsearch_self_query",
        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
        "Self-querying with Pinecone": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/pinecone",
        "Self-querying with MyScale": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/myscale_self_query",
        "Deep Lake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/activeloop_deeplake_self_query",
        "Qdrant self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/qdrant_self_query",
        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
        "Custom agent with tool retrieval": "https://python.langchain.com/docs/modules/agents/how_to/custom_agent_with_tool_retrieval",
        "Select by maximal marginal relevance (MMR)": "https://python.langchain.com/docs/modules/model_io/prompts/example_selectors/mmr",
        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat",
        "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
    },
    "VertexAIEmbeddings": {
        "Google Cloud Platform Vertex AI PaLM ": "https://python.langchain.com/docs/integrations/text_embedding/google_vertex_ai_palm"
    },
    "BedrockEmbeddings": {
        "Bedrock Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/bedrock",
        "Bedrock": "https://python.langchain.com/docs/integrations/providers/bedrock"
    },
    "LlamaCppEmbeddings": {
        "Llama-cpp": "https://python.langchain.com/docs/integrations/text_embedding/llamacpp",
        "Llama.cpp": "https://python.langchain.com/docs/integrations/providers/llamacpp"
    },
    "NLPCloudEmbeddings": {
        "NLP Cloud": "https://python.langchain.com/docs/integrations/text_embedding/nlp_cloud"
    },
    "SpacyEmbeddings": {
        "Spacy Embedding": "https://python.langchain.com/docs/integrations/text_embedding/spacy_embedding"
    },
    "HuggingFaceInstructEmbeddings": {
        "InstructEmbeddings": "https://python.langchain.com/docs/integrations/text_embedding/instruct_embeddings"
    },
    "CohereEmbeddings": {
        "Cohere": "https://python.langchain.com/docs/integrations/providers/cohere",
        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router"
    },
    "EdenAiEmbeddings": {
        "EDEN AI": "https://python.langchain.com/docs/integrations/text_embedding/edenai"
    },
    "SentenceTransformerEmbeddings": {
        "Sentence Transformers Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sentence_transformers",
        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma"
    },
    "ClarifaiEmbeddings": {
        "Clarifai": "https://python.langchain.com/docs/integrations/providers/clarifai"
    },
    "AwaEmbeddings": {
        "AwaEmbedding": "https://python.langchain.com/docs/integrations/text_embedding/Awa"
    },
    "MiniMaxEmbeddings": {
        "MiniMax": "https://python.langchain.com/docs/integrations/text_embedding/minimax",
        "Minimax": "https://python.langchain.com/docs/integrations/providers/minimax"
    },
    "FakeEmbeddings": {
        "Fake Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/fake",
        "DocArray Retriever": "https://python.langchain.com/docs/integrations/retrievers/docarray_retriever",
        "Vectara": "https://python.langchain.com/docs/integrations/vectorstores/vectara",
        "Tair": "https://python.langchain.com/docs/integrations/vectorstores/tair"
    },
    "ElasticsearchEmbeddings": {
        "Elasticsearch": "https://python.langchain.com/docs/integrations/text_embedding/elasticsearch"
    },
    "SelfHostedEmbeddings": {
        "Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
    },
    "SelfHostedHuggingFaceEmbeddings": {
        "Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
    },
    "SelfHostedHuggingFaceInstructEmbeddings": {
        "Self Hosted Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/self-hosted"
    },
    "EmbaasEmbeddings": {
        "Embaas": "https://python.langchain.com/docs/integrations/text_embedding/embaas"
    },
    "JinaEmbeddings": {
        "Jina": "https://python.langchain.com/docs/integrations/providers/jina"
    },
    "AlephAlphaAsymmetricSemanticEmbedding": {
        "Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"
    },
    "AlephAlphaSymmetricSemanticEmbedding": {
        "Aleph Alpha": "https://python.langchain.com/docs/integrations/providers/aleph_alpha"
    },
    "DashScopeEmbeddings": {
        "DashScope": "https://python.langchain.com/docs/integrations/text_embedding/dashscope",
        "DashVector": "https://python.langchain.com/docs/integrations/vectorstores/dashvector"
    },
    "TensorflowHubEmbeddings": {
        "TensorflowHub": "https://python.langchain.com/docs/integrations/text_embedding/tensorflowhub",
        "ScaNN": "https://python.langchain.com/docs/integrations/vectorstores/scann"
    },
    "ModelScopeEmbeddings": {
        "ModelScope": "https://python.langchain.com/docs/integrations/providers/modelscope"
    },
    "SagemakerEndpointEmbeddings": {
        "SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint",
        "SageMaker Endpoint": "https://python.langchain.com/docs/integrations/providers/sagemaker_endpoint"
    },
    "EmbeddingsContentHandler": {
        "SageMaker Endpoint Embeddings": "https://python.langchain.com/docs/integrations/text_embedding/sagemaker-endpoint"
    },
    "LocalAIEmbeddings": {
        "LocalAI": "https://python.langchain.com/docs/integrations/text_embedding/localai"
    },
    "WebBaseLoader": {
        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
        "WebBaseLoader": "https://python.langchain.com/docs/integrations/document_loaders/web_base",
        "MergeDocLoader": "https://python.langchain.com/docs/integrations/document_loaders/merge_doc_loader",
        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
        "Summarization": "https://python.langchain.com/docs/use_cases/summarization",
        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore"
    },
    "RecursiveCharacterTextSplitter": {
        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
        "Cohere Reranker": "https://python.langchain.com/docs/integrations/retrievers/cohere-reranker",
        "Loading documents from a YouTube url": "https://python.langchain.com/docs/integrations/document_loaders/youtube_audio",
        "Source Code": "https://python.langchain.com/docs/integrations/document_loaders/source_code",
        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
        "!pip install bs4": "https://python.langchain.com/docs/use_cases/autonomous_agents/marathon_times",
        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
        "QA using Activeloop's DeepLake": "https://python.langchain.com/docs/use_cases/question_answering/integrations/semantic-search-over-chat",
        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
        "MarkdownHeaderTextSplitter": "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/markdown_header_metadata"
    },
    "Chroma": {
        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
        "LOTR (Merger Retriever)": "https://python.langchain.com/docs/integrations/retrievers/merger_retriever",
        "Chroma": "https://python.langchain.com/docs/integrations/vectorstores/chroma",
        "Vectorstore Agent": "https://python.langchain.com/docs/integrations/toolkits/vectorstore",
        "StarRocks": "https://python.langchain.com/docs/integrations/vectorstores/starrocks",
        "Psychic": "https://python.langchain.com/docs/integrations/document_loaders/psychic",
        "Docugami": "https://python.langchain.com/docs/integrations/document_loaders/docugami",
        "Ollama": "https://python.langchain.com/docs/integrations/llms/ollama",
        "Cookbook": "https://python.langchain.com/docs/guides/expression_language/cookbook",
        "Web Scraping": "https://python.langchain.com/docs/use_cases/web_scraping",
        "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots",
        "Code Understanding": "https://python.langchain.com/docs/use_cases/code_understanding",
        "QA over Documents": "https://python.langchain.com/docs/use_cases/question_answering/index",
        "Perform context-aware text splitting": "https://python.langchain.com/docs/use_cases/question_answering/how_to/document-context-aware-QA",
        "Use local LLMs": "https://python.langchain.com/docs/use_cases/question_answering/how_to/local_retrieval_qa",
        "Retrieve from vector stores directly": "https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_text_generation",
        "Improve document indexing with HyDE": "https://python.langchain.com/docs/use_cases/question_answering/how_to/hyde",
        "Structure answers with OpenAI functions": "https://python.langchain.com/docs/use_cases/question_answering/integrations/openai_functions_retrieval_qa",
        "SalesGPT - Your Context-Aware AI Sales Assistant With Knowledge Base": "https://python.langchain.com/docs/use_cases/agents/sales_agent_with_context",
        "MultiQueryRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/MultiQueryRetriever",
        "Parent Document Retriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/parent_document_retriever",
        "WebResearchRetriever": "https://python.langchain.com/docs/modules/data_connection/retrievers/web_research",
        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
        "Lost in the middle: The problem with long contexts": "https://python.langchain.com/docs/modules/data_connection/document_transformers/post_retrieval/long_context_reorder",
        "How to add memory to a Multi-Input Chain": "https://python.langchain.com/docs/modules/memory/adding_memory_chain_multiple_inputs",
        "Combine agents and vector stores": "https://python.langchain.com/docs/modules/agents/how_to/agent_vectorstore",
        "Few shot examples for chat models": "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/few_shot_examples_chat",
        "Router": "https://python.langchain.com/docs/modules/chains/foundational/router",
        "Loading from LangChainHub": "https://python.langchain.com/docs/modules/chains/how_to/from_hub"
    },
    "ChatOpenAI": {
        "RePhraseQueryRetriever": "https://python.langchain.com/docs/integrations/retrievers/re_phrase",
        "Wikipedia": "https://python.langchain.com/docs/integrations/retrievers/wikipedia",
        "Arxiv": "https://python.langchain.com/docs/integrations/retrievers/arxiv",
        "ChatGPT Plugins": "https://python.langchain.com/docs/integrations/tools/chatgpt_plugins",
        "Human as a tool": "https://python.langchain.com/docs/integrations/tools/human_tools",
        "ArXiv API Tool": "https://python.langchain.com/docs/integrations/tools/arxiv",
        "Metaphor Search": "https://python.langchain.com/docs/integrations/tools/metaphor_search",
        "Shell Tool": "https://python.langchain.com/docs/integrations/tools/bash",
        "Dynamodb Chat Message History": "https://python.langchain.com/docs/integrations/memory/dynamodb_chat_message_history",
        "OpenAI": "https://python.langchain.com/docs/integrations/chat/openai",
        "Context": "https://python.langchain.com/docs/integrations/callbacks/context",
        "Label Studio": "https://python.langchain.com/docs/integrations/callbacks/labelstudio",
        "PromptLayer": "https://python.langchain.com/docs/integrations/callbacks/promptlayer",
        "CnosDB": "https://python.langchain.com/docs/integrations/providers/cnosdb",
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        "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query",
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        "Serialization": "https://python.langchain.com/docs/modules/model_io/models/llms/llm_serialization",
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