"""**Retriever** class returns Documents given a text **query**. It is more general than a vector store. A retriever does not need to be able to store documents, only to return (or retrieve) it. Vector stores can be used as the backbone of a retriever, but there are other types of retrievers as well. **Class hierarchy:** .. code-block:: BaseRetriever --> Retriever # Examples: ArxivRetriever, MergerRetriever **Main helpers:** .. code-block:: Document, Serializable, Callbacks, CallbackManagerForRetrieverRun, AsyncCallbackManagerForRetrieverRun """ from langchain_community.retrievers.arcee import ArceeRetriever from langchain_community.retrievers.arxiv import ArxivRetriever from langchain_community.retrievers.azure_cognitive_search import ( AzureCognitiveSearchRetriever, ) from langchain_community.retrievers.bedrock import AmazonKnowledgeBasesRetriever from langchain_community.retrievers.bm25 import BM25Retriever from langchain_community.retrievers.chaindesk import ChaindeskRetriever from langchain_community.retrievers.chatgpt_plugin_retriever import ( ChatGPTPluginRetriever, ) from langchain_community.retrievers.cohere_rag_retriever import CohereRagRetriever from langchain_community.retrievers.docarray import DocArrayRetriever from langchain_community.retrievers.elastic_search_bm25 import ( ElasticSearchBM25Retriever, ) from langchain_community.retrievers.embedchain import EmbedchainRetriever from langchain_community.retrievers.google_cloud_documentai_warehouse import ( GoogleDocumentAIWarehouseRetriever, ) from langchain_community.retrievers.google_vertex_ai_search import ( GoogleCloudEnterpriseSearchRetriever, GoogleVertexAIMultiTurnSearchRetriever, GoogleVertexAISearchRetriever, ) from langchain_community.retrievers.kay import KayAiRetriever from langchain_community.retrievers.kendra import AmazonKendraRetriever from langchain_community.retrievers.knn import KNNRetriever from langchain_community.retrievers.llama_index import ( LlamaIndexGraphRetriever, LlamaIndexRetriever, ) from langchain_community.retrievers.metal import MetalRetriever from langchain_community.retrievers.milvus import MilvusRetriever from langchain_community.retrievers.outline import OutlineRetriever from langchain_community.retrievers.pinecone_hybrid_search import ( PineconeHybridSearchRetriever, ) from langchain_community.retrievers.pubmed import PubMedRetriever from langchain_community.retrievers.qdrant_sparse_vector_retriever import ( QdrantSparseVectorRetriever, ) from langchain_community.retrievers.remote_retriever import RemoteLangChainRetriever from langchain_community.retrievers.svm import SVMRetriever from langchain_community.retrievers.tavily_search_api import TavilySearchAPIRetriever from langchain_community.retrievers.tfidf import TFIDFRetriever from langchain_community.retrievers.vespa_retriever import VespaRetriever from langchain_community.retrievers.weaviate_hybrid_search import ( WeaviateHybridSearchRetriever, ) from langchain_community.retrievers.wikipedia import WikipediaRetriever from langchain_community.retrievers.zep import ZepRetriever from langchain_community.retrievers.zilliz import ZillizRetriever __all__ = [ "AmazonKendraRetriever", "AmazonKnowledgeBasesRetriever", "ArceeRetriever", "ArxivRetriever", "AzureCognitiveSearchRetriever", "ChatGPTPluginRetriever", "ChaindeskRetriever", "CohereRagRetriever", "ElasticSearchBM25Retriever", "EmbedchainRetriever", "GoogleDocumentAIWarehouseRetriever", "GoogleCloudEnterpriseSearchRetriever", "GoogleVertexAIMultiTurnSearchRetriever", "GoogleVertexAISearchRetriever", "KayAiRetriever", "KNNRetriever", "LlamaIndexGraphRetriever", "LlamaIndexRetriever", "MetalRetriever", "MilvusRetriever", "OutlineRetriever", "PineconeHybridSearchRetriever", "PubMedRetriever", "QdrantSparseVectorRetriever", "RemoteLangChainRetriever", "SVMRetriever", "TavilySearchAPIRetriever", "TFIDFRetriever", "BM25Retriever", "VespaRetriever", "WeaviateHybridSearchRetriever", "WikipediaRetriever", "ZepRetriever", "ZillizRetriever", "DocArrayRetriever", ]