load_qa_chain() — langchain Function Reference

Architecture documentation for the load_qa_chain() function in chain.py from the langchain codebase.

Function python AgentOrchestration ClassicChains

Entity Profile

AgentOrchestration→ ClassicChains→ load_qa_chain() — langchain Function Reference

Dependency Diagram

graph TD
  bd67ff35_0fda_a8a7_6058_318b3cb7fbe9["load_qa_chain()"]
  7bff8b59_614d_4352_11dd_db15fa7a7056["chain.py"]
  bd67ff35_0fda_a8a7_6058_318b3cb7fbe9 -->|defined in| 7bff8b59_614d_4352_11dd_db15fa7a7056
  style bd67ff35_0fda_a8a7_6058_318b3cb7fbe9 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/chains/question_answering/chain.py lines 246–284

def load_qa_chain(
    llm: BaseLanguageModel,
    chain_type: str = "stuff",
    verbose: bool | None = None,  # noqa: FBT001
    callback_manager: BaseCallbackManager | None = None,
    **kwargs: Any,
) -> BaseCombineDocumentsChain:
    """Load question answering chain.

    Args:
        llm: Language Model to use in the chain.
        chain_type: Type of document combining chain to use. Should be one of "stuff",
            "map_reduce", "map_rerank", and "refine".
        verbose: Whether chains should be run in verbose mode or not. Note that this
            applies to all chains that make up the final chain.
        callback_manager: Callback manager to use for the chain.
        **kwargs: Additional keyword arguments.

    Returns:
        A chain to use for question answering.
    """
    loader_mapping: Mapping[str, LoadingCallable] = {
        "stuff": _load_stuff_chain,
        "map_reduce": _load_map_reduce_chain,
        "refine": _load_refine_chain,
        "map_rerank": _load_map_rerank_chain,
    }
    if chain_type not in loader_mapping:
        msg = (
            f"Got unsupported chain type: {chain_type}. "
            f"Should be one of {loader_mapping.keys()}"
        )
        raise ValueError(msg)
    return loader_mapping[chain_type](
        llm,
        verbose=verbose,
        callback_manager=callback_manager,
        **kwargs,
    )