langchain/libs/community/tests/unit_tests/retrievers/test_imports.py

from langchain_community.retrievers import __all__

EXPECTED_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",
]


def test_all_imports() -> None:
    assert set(__all__) == set(EXPECTED_ALL)
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463) Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes 10 months ago			`from langchain_community.retrievers import __all__`
add import tests to all modules (#12806) 11 months ago
			`EXPECTED_ALL = [`
			`"AmazonKendraRetriever",`
langchain[minor]: Add retriever for Knowledge Bases for Amazon Bedrock (#13980) - Description: Adds a retriever implementation for [Knowledge Bases for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/), a new service announced at AWS re:Invent, shortly before this PR was opened. This depends on the `bedrock-agent-runtime` service, which will be included in a future version of `boto3` and of `botocore`. We will open a follow-up PR documenting the minimum required versions of `boto3` and `botocore` after that information is available. - Issue: N/A - Dependencies: `boto3>=1.33.2, botocore>=1.33.2` - Tag maintainer: @baskaryan - Twitter handles: `@pjain7` `@dead_letter_q` This PR includes a documentation notebook under `docs/docs/integrations/retrievers`, which I (@dlqqq) have verified independently. EDIT: `bedrock-agent-runtime` service is now included in `boto3>=1.33.2`: https://github.com/boto/boto3/commit/5cf793f49369607f2557fd11741c357df866e4a5 --------- Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com> 10 months ago			`"AmazonKnowledgeBasesRetriever",`
add import tests to all modules (#12806) 11 months ago			`"ArceeRetriever",`
			`"ArxivRetriever",`
			`"AzureCognitiveSearchRetriever",`
			`"ChatGPTPluginRetriever",`
			`"ChaindeskRetriever",`
			`"CohereRagRetriever",`
			`"ElasticSearchBM25Retriever",`
Add embedchain retriever (#13553) Description: This commit adds embedchain retriever along with tests and docs. Embedchain is a RAG framework to create data pipelines. Twitter handle: - [Taranjeet's twitter](https://twitter.com/taranjeetio) and [Embedchain's twitter](https://twitter.com/embedchain) Reviewer @hwchase17 --------- Co-authored-by: Bagatur <baskaryan@gmail.com> 10 months ago			`"EmbedchainRetriever",`
add import tests to all modules (#12806) 11 months ago			`"GoogleDocumentAIWarehouseRetriever",`
			`"GoogleCloudEnterpriseSearchRetriever",`
			`"GoogleVertexAIMultiTurnSearchRetriever",`
			`"GoogleVertexAISearchRetriever",`
			`"KayAiRetriever",`
			`"KNNRetriever",`
			`"LlamaIndexGraphRetriever",`
			`"LlamaIndexRetriever",`
			`"MetalRetriever",`
			`"MilvusRetriever",`
FEATURE: Add retriever for Outline (#13889) - Description: Added a retriever for the Outline API to ask questions on knowledge base - Issue: resolves #11814 - Dependencies: None - Tag maintainer: @baskaryan 10 months ago			`"OutlineRetriever",`
add import tests to all modules (#12806) 11 months ago			`"PineconeHybridSearchRetriever",`
			`"PubMedRetriever",`
community[minor]: Qdrant sparse vector retriever (#14814) ## Description This PR intends to add support for Qdrant's new [sparse vector retrieval](https://qdrant.tech/articles/sparse-vectors/) by introducing a new retriever class, `QdrantSparseVectorRetriever`. Necessary usage docs and integration tests have been added for the retriever. --------- Co-authored-by: Bagatur <baskaryan@gmail.com> 9 months ago			`"QdrantSparseVectorRetriever",`
add import tests to all modules (#12806) 11 months ago			`"RemoteLangChainRetriever",`
			`"SVMRetriever",`
			`"TavilySearchAPIRetriever",`
			`"TFIDFRetriever",`
			`"BM25Retriever",`
			`"VespaRetriever",`
			`"WeaviateHybridSearchRetriever",`
			`"WikipediaRetriever",`
			`"ZepRetriever",`
			`"ZillizRetriever",`
			`"DocArrayRetriever",`
			`]`


			`def test_all_imports() -> None:`
			`assert set(__all__) == set(EXPECTED_ALL)`