_aget_relevant_documents() — langchain Function Reference
Architecture documentation for the _aget_relevant_documents() function in base.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 59078602_294c_8293_a58c_2df8b4e9e2ba["_aget_relevant_documents()"] 714ad545_01d2_22ce_704e_4b6490f7b443["SelfQueryRetriever"] 59078602_294c_8293_a58c_2df8b4e9e2ba -->|defined in| 714ad545_01d2_22ce_704e_4b6490f7b443 2a26f59b_9df1_ea18_bd4b_419d13fe08ec["_prepare_query()"] 59078602_294c_8293_a58c_2df8b4e9e2ba -->|calls| 2a26f59b_9df1_ea18_bd4b_419d13fe08ec f40e46a5_6c7a_2f97_f3be_ba9413f51830["_aget_docs_with_query()"] 59078602_294c_8293_a58c_2df8b4e9e2ba -->|calls| f40e46a5_6c7a_2f97_f3be_ba9413f51830 style 59078602_294c_8293_a58c_2df8b4e9e2ba fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain/langchain_classic/retrievers/self_query/base.py lines 326–339
async def _aget_relevant_documents(
self,
query: str,
*,
run_manager: AsyncCallbackManagerForRetrieverRun,
) -> list[Document]:
structured_query = await self.query_constructor.ainvoke(
{"query": query},
config={"callbacks": run_manager.get_child()},
)
if self.verbose:
logger.info("Generated Query: %s", structured_query)
new_query, search_kwargs = self._prepare_query(query, structured_query)
return await self._aget_docs_with_query(new_query, search_kwargs)Domain
Subdomains
Source
Frequently Asked Questions
What does _aget_relevant_documents() do?
_aget_relevant_documents() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/retrievers/self_query/base.py.
Where is _aget_relevant_documents() defined?
_aget_relevant_documents() is defined in libs/langchain/langchain_classic/retrievers/self_query/base.py at line 326.
What does _aget_relevant_documents() call?
_aget_relevant_documents() calls 2 function(s): _aget_docs_with_query, _prepare_query.
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