combine_docs() — langchain Function Reference

Architecture documentation for the combine_docs() function in reduce.py from the langchain codebase.

Function python AgentOrchestration ClassicChains calls 1

Entity Profile

AgentOrchestration→ ClassicChains→ combine_docs() — langchain Function Reference

Dependency Diagram

graph TD
  cc4540ae_400a_89bd_9f59_c90678c2a044["combine_docs()"]
  1d761688_0112_f998_eecc_6712fc22bf37["ReduceDocumentsChain"]
  cc4540ae_400a_89bd_9f59_c90678c2a044 -->|defined in| 1d761688_0112_f998_eecc_6712fc22bf37
  5ec5e85d_0e34_733e_07b9_d13ee52ef47f["_collapse()"]
  cc4540ae_400a_89bd_9f59_c90678c2a044 -->|calls| 5ec5e85d_0e34_733e_07b9_d13ee52ef47f
  style cc4540ae_400a_89bd_9f59_c90678c2a044 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/combine_documents/reduce.py lines 241–273

    def combine_docs(
        self,
        docs: list[Document],
        token_max: int | None = None,
        callbacks: Callbacks = None,
        **kwargs: Any,
    ) -> tuple[str, dict]:
        """Combine multiple documents recursively.

        Args:
            docs: List of documents to combine, assumed that each one is less than
                `token_max`.
            token_max: Recursively creates groups of documents less than this number
                of tokens.
            callbacks: Callbacks to be passed through
            **kwargs: additional parameters to be passed to LLM calls (like other
                input variables besides the documents)

        Returns:
            The first element returned is the single string output. The second
                element returned is a dictionary of other keys to return.
        """
        result_docs, _ = self._collapse(
            docs,
            token_max=token_max,
            callbacks=callbacks,
            **kwargs,
        )
        return self.combine_documents_chain.combine_docs(
            docs=result_docs,
            callbacks=callbacks,
            **kwargs,
        )