combine_docs() — langchain Function Reference

Source Code

libs/langchain/langchain_classic/chains/combine_documents/refine.py lines 145–171

    def combine_docs(
        self,
        docs: list[Document],
        callbacks: Callbacks = None,
        **kwargs: Any,
    ) -> tuple[str, dict]:
        """Combine by mapping first chain over all, then stuffing into final chain.

        Args:
            docs: List of documents to combine
            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.
        """
        inputs = self._construct_initial_inputs(docs, **kwargs)
        res = self.initial_llm_chain.predict(callbacks=callbacks, **inputs)
        refine_steps = [res]
        for doc in docs[1:]:
            base_inputs = self._construct_refine_inputs(doc, res)
            inputs = {**base_inputs, **kwargs}
            res = self.refine_llm_chain.predict(callbacks=callbacks, **inputs)
            refine_steps.append(res)
        return self._construct_result(refine_steps, res)