test_multi_vector_retriever_initialization_async() — langchain Function Reference
Architecture documentation for the test_multi_vector_retriever_initialization_async() function in test_multi_vector.py from the langchain codebase.
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Dependency Diagram
graph TD 4adea891_32c6_3aea_dab3_aaa1d9562b96["test_multi_vector_retriever_initialization_async()"] ec1b85d3_6e5d_33cc_5e60_268fb7b7b716["test_multi_vector.py"] 4adea891_32c6_3aea_dab3_aaa1d9562b96 -->|defined in| ec1b85d3_6e5d_33cc_5e60_268fb7b7b716 style 4adea891_32c6_3aea_dab3_aaa1d9562b96 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py lines 60–72
async def test_multi_vector_retriever_initialization_async() -> None:
vectorstore = InMemoryVectorstoreWithSearch()
retriever = MultiVectorRetriever(
vectorstore=vectorstore,
docstore=InMemoryStore(),
doc_id="doc_id",
)
documents = [Document(page_content="test document", metadata={"doc_id": "1"})]
await retriever.vectorstore.aadd_documents(documents, ids=["1"])
await retriever.docstore.amset(list(zip(["1"], documents, strict=False)))
results = await retriever.ainvoke("1")
assert len(results) > 0
assert results[0].page_content == "test document"
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Frequently Asked Questions
What does test_multi_vector_retriever_initialization_async() do?
test_multi_vector_retriever_initialization_async() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py.
Where is test_multi_vector_retriever_initialization_async() defined?
test_multi_vector_retriever_initialization_async() is defined in libs/langchain/tests/unit_tests/retrievers/test_multi_vector.py at line 60.
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