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langchain/libs/community/langchain_community/retrievers/__init__.py

235 lines
8.8 KiB
Python

"""**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 --> <name>Retriever # Examples: ArxivRetriever, MergerRetriever
**Main helpers:**
.. code-block::
Document, Serializable, Callbacks,
CallbackManagerForRetrieverRun, AsyncCallbackManagerForRetrieverRun
"""
import importlib
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from langchain_community.retrievers.arcee import (
ArceeRetriever,
)
from langchain_community.retrievers.arxiv import (
ArxivRetriever,
)
from langchain_community.retrievers.azure_ai_search import (
AzureAISearchRetriever,
AzureCognitiveSearchRetriever,
)
from langchain_community.retrievers.bedrock import (
AmazonKnowledgeBasesRetriever,
)
from langchain_community.retrievers.bm25 import (
BM25Retriever,
)
from langchain_community.retrievers.breebs import (
BreebsRetriever,
)
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.dria_index import (
DriaRetriever,
)
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.rememberizer import (
RememberizerRetriever,
)
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.thirdai_neuraldb import NeuralDBRetriever
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.you import (
YouRetriever,
)
from langchain_community.retrievers.zep import (
ZepRetriever,
)
from langchain_community.retrievers.zilliz import (
ZillizRetriever,
)
_module_lookup = {
"AmazonKendraRetriever": "langchain_community.retrievers.kendra",
"AmazonKnowledgeBasesRetriever": "langchain_community.retrievers.bedrock",
"ArceeRetriever": "langchain_community.retrievers.arcee",
"ArxivRetriever": "langchain_community.retrievers.arxiv",
"AzureAISearchRetriever": "langchain_community.retrievers.azure_ai_search",
"AzureCognitiveSearchRetriever": "langchain_community.retrievers.azure_ai_search",
"BM25Retriever": "langchain_community.retrievers.bm25",
"BreebsRetriever": "langchain_community.retrievers.breebs",
"ChaindeskRetriever": "langchain_community.retrievers.chaindesk",
"ChatGPTPluginRetriever": "langchain_community.retrievers.chatgpt_plugin_retriever",
"CohereRagRetriever": "langchain_community.retrievers.cohere_rag_retriever",
"DocArrayRetriever": "langchain_community.retrievers.docarray",
"DriaRetriever": "langchain_community.retrievers.dria_index",
"ElasticSearchBM25Retriever": "langchain_community.retrievers.elastic_search_bm25",
"EmbedchainRetriever": "langchain_community.retrievers.embedchain",
"GoogleCloudEnterpriseSearchRetriever": "langchain_community.retrievers.google_vertex_ai_search", # noqa: E501
"GoogleDocumentAIWarehouseRetriever": "langchain_community.retrievers.google_cloud_documentai_warehouse", # noqa: E501
"GoogleVertexAIMultiTurnSearchRetriever": "langchain_community.retrievers.google_vertex_ai_search", # noqa: E501
"GoogleVertexAISearchRetriever": "langchain_community.retrievers.google_vertex_ai_search", # noqa: E501
"KNNRetriever": "langchain_community.retrievers.knn",
"KayAiRetriever": "langchain_community.retrievers.kay",
"LlamaIndexGraphRetriever": "langchain_community.retrievers.llama_index",
"LlamaIndexRetriever": "langchain_community.retrievers.llama_index",
"MetalRetriever": "langchain_community.retrievers.metal",
"MilvusRetriever": "langchain_community.retrievers.milvus",
"OutlineRetriever": "langchain_community.retrievers.outline",
"PineconeHybridSearchRetriever": "langchain_community.retrievers.pinecone_hybrid_search", # noqa: E501
"PubMedRetriever": "langchain_community.retrievers.pubmed",
"QdrantSparseVectorRetriever": "langchain_community.retrievers.qdrant_sparse_vector_retriever", # noqa: E501
"RememberizerRetriever": "langchain_community.retrievers.rememberizer",
"RemoteLangChainRetriever": "langchain_community.retrievers.remote_retriever",
"SVMRetriever": "langchain_community.retrievers.svm",
"TFIDFRetriever": "langchain_community.retrievers.tfidf",
"TavilySearchAPIRetriever": "langchain_community.retrievers.tavily_search_api",
"VespaRetriever": "langchain_community.retrievers.vespa_retriever",
"WeaviateHybridSearchRetriever": "langchain_community.retrievers.weaviate_hybrid_search", # noqa: E501
"WikipediaRetriever": "langchain_community.retrievers.wikipedia",
"YouRetriever": "langchain_community.retrievers.you",
"ZepRetriever": "langchain_community.retrievers.zep",
"ZillizRetriever": "langchain_community.retrievers.zilliz",
"NeuralDBRetriever": "langchain_community.retrievers.thirdai_neuraldb",
}
def __getattr__(name: str) -> Any:
if name in _module_lookup:
module = importlib.import_module(_module_lookup[name])
return getattr(module, name)
raise AttributeError(f"module {__name__} has no attribute {name}")
__all__ = [
"AmazonKendraRetriever",
"AmazonKnowledgeBasesRetriever",
"ArceeRetriever",
"ArxivRetriever",
"AzureCognitiveSearchRetriever",
"AzureAISearchRetriever",
"BM25Retriever",
"BreebsRetriever",
"ChaindeskRetriever",
"ChatGPTPluginRetriever",
"CohereRagRetriever",
"DocArrayRetriever",
"DriaRetriever",
"ElasticSearchBM25Retriever",
"EmbedchainRetriever",
"GoogleCloudEnterpriseSearchRetriever",
"GoogleDocumentAIWarehouseRetriever",
"GoogleVertexAIMultiTurnSearchRetriever",
"GoogleVertexAISearchRetriever",
"KNNRetriever",
"KayAiRetriever",
"LlamaIndexGraphRetriever",
"LlamaIndexRetriever",
"MetalRetriever",
"MilvusRetriever",
"NeuralDBRetriever",
"OutlineRetriever",
"PineconeHybridSearchRetriever",
"PubMedRetriever",
"QdrantSparseVectorRetriever",
"RememberizerRetriever",
"RemoteLangChainRetriever",
"SVMRetriever",
"TFIDFRetriever",
"TavilySearchAPIRetriever",
"VespaRetriever",
"WeaviateHybridSearchRetriever",
"WikipediaRetriever",
"YouRetriever",
"ZepRetriever",
"ZillizRetriever",
]