langchain/docs/api_reference/guide_imports.json

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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", "Activeloop's Deep Lake": "https://python.langchain.com/docs/integrations/vectorstores/deeplake", "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", "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", "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", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "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": 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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", "Chroma self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/chroma_self_query", "DeepLake self-querying ": "https://python.langchain.com/docs/modules/data_connection/retrievers/self_query/deeplake_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", "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 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"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", "ElasticSearch": "https://python.langchain.com/docs/integrations/vectorstores/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"}, "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": 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"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", "Chatbots": "https://python.langchain.com/docs/use_cases/chatbots", "!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": 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