_get_relevant_documents() — langchain Function Reference

Architecture documentation for the _get_relevant_documents() function in re_phraser.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

LangChainCore→ ApiManagement→ _get_relevant_documents() — langchain Function Reference

Dependency Diagram

graph TD
  4c0a05de_d164_e0be_ed38_a06df30f4ef0["_get_relevant_documents()"]
  7d7b7f28_6346_74a0_c2d3_da5a2d751cf0["RePhraseQueryRetriever"]
  4c0a05de_d164_e0be_ed38_a06df30f4ef0 -->|defined in| 7d7b7f28_6346_74a0_c2d3_da5a2d751cf0
  style 4c0a05de_d164_e0be_ed38_a06df30f4ef0 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/retrievers/re_phraser.py lines 61–84

    def _get_relevant_documents(
        self,
        query: str,
        *,
        run_manager: CallbackManagerForRetrieverRun,
    ) -> list[Document]:
        """Get relevant documents given a user question.

        Args:
            query: user question
            run_manager: callback handler to use

        Returns:
            Relevant documents for re-phrased question
        """
        re_phrased_question = self.llm_chain.invoke(
            query,
            {"callbacks": run_manager.get_child()},
        )
        logger.info("Re-phrased question: %s", re_phrased_question)
        return self.retriever.invoke(
            re_phrased_question,
            config={"callbacks": run_manager.get_child()},
        )