_get_relevant_documents() — langchain Function Reference

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

Function python LangChainCore MessageInterface calls 1

Entity Profile

LangChainCore→ MessageInterface→ _get_relevant_documents() — langchain Function Reference

Dependency Diagram

graph TD
  ccce4b1c_718f_d147_2e66_f9cb6956fb6b["_get_relevant_documents()"]
  b484cd3a_bbd0_4ff6_dc8c_3fc1ac219bca["EnsembleRetriever"]
  ccce4b1c_718f_d147_2e66_f9cb6956fb6b -->|defined in| b484cd3a_bbd0_4ff6_dc8c_3fc1ac219bca
  846fcd62_7844_5645_0197_3c181518377e["rank_fusion()"]
  ccce4b1c_718f_d147_2e66_f9cb6956fb6b -->|calls| 846fcd62_7844_5645_0197_3c181518377e
  style ccce4b1c_718f_d147_2e66_f9cb6956fb6b fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/retrievers/ensemble.py lines 166–182

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

        Args:
            query: The query to search for.
            run_manager: The callback handler to use.

        Returns:
            A list of reranked documents.
        """
        # Get fused result of the retrievers.
        return self.rank_fusion(query, run_manager)