LangChain Reference home pageLangChain ReferenceLangChain Reference
  • GitHub
  • Main Docs
Deep Agents
LangChain
LangGraph
Integrations
LangSmith
  • Overview
  • MCP Adapters
    Standard Tests
    Text Splitters
    • Overview
    • Agents
    • Callbacks
    • Chains
    • Chat models
    • Embeddings
    • Evaluation
    • Globals
    • Hub
    • Memory
    • Output parsers
    • Retrievers
    • Runnables
    • LangSmith
    • Storage
    ⌘I

    LangChain Assistant

    Ask a question to get started

    Enter to send•Shift+Enter new line

    Menu

    MCP Adapters
    Standard Tests
    Text Splitters
    OverviewAgentsCallbacksChainsChat modelsEmbeddingsEvaluationGlobalsHubMemoryOutput parsersRetrieversRunnablesLangSmithStorage
    Language
    Theme
    Pythonlangchain-classicchainsopenai_functionsqa_with_structurecreate_qa_with_sources_chain
    Functionā—Since v1.0Deprecated

    create_qa_with_sources_chain

    Copy
    create_qa_with_sources_chain(
      llm: BaseLanguageModel,
      verbose: bool = False,
      **kwargs: Any = 
    View source on GitHub
    {
    }
    )
    ->
    LLMChain

    Parameters

    NameTypeDescription
    llm*BaseLanguageModel
    verbosebool
    Default:False
    **kwargsAny
    Default:{}

    Create a question answering chain that returns an answer with sources.

    Language model to use for the chain.

    Whether to print the details of the chain

    Keyword arguments to pass to create_qa_with_structure_chain.