_aget_docs() — langchain Function Reference

Architecture documentation for the _aget_docs() function in retrieval.py from the langchain codebase.

Function python AgentOrchestration ClassicChains calls 1

Entity Profile

AgentOrchestration→ ClassicChains→ _aget_docs() — langchain Function Reference

Dependency Diagram

graph TD
  a9a5b4e9_e1f3_681e_a5ee_75ece394ee79["_aget_docs()"]
  76f853c5_b279_fd04_f253_b0c960712f80["RetrievalQAWithSourcesChain"]
  a9a5b4e9_e1f3_681e_a5ee_75ece394ee79 -->|defined in| 76f853c5_b279_fd04_f253_b0c960712f80
  0afcca8a_ef8b_63ff_50cb_7330bdb61fee["_reduce_tokens_below_limit()"]
  a9a5b4e9_e1f3_681e_a5ee_75ece394ee79 -->|calls| 0afcca8a_ef8b_63ff_50cb_7330bdb61fee
  style a9a5b4e9_e1f3_681e_a5ee_75ece394ee79 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/qa_with_sources/retrieval.py lines 59–70

    async def _aget_docs(
        self,
        inputs: dict[str, Any],
        *,
        run_manager: AsyncCallbackManagerForChainRun,
    ) -> list[Document]:
        question = inputs[self.question_key]
        docs = await self.retriever.ainvoke(
            question,
            config={"callbacks": run_manager.get_child()},
        )
        return self._reduce_tokens_below_limit(docs)