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

    LangChain Assistant

    Ask a question to get started

    Enter to send•Shift+Enter new line

    Menu

    MCP Adapters
    OverviewAgentsCallbacksChainsChat modelsEmbeddingsEvaluationGlobalsHubMemoryOutput parsersRetrieversRunnablesLangSmithStorage
    Standard Tests
    Text Splitters
    Language
    Theme
    Pythonlangchain-classicchainsqa_with_sourcesretrieval
    Module●Since v1.0

    retrieval

    Question-answering with sources over an index.

    Classes

    class
    RetrievalQAWithSourcesChain

    Question-answering with sources over an index.

    deprecatedclass
    StuffDocumentsChain

    Chain that combines documents by stuffing into context.

    This chain takes a list of documents and first combines them into a single string. It does this by formatting each document into a string with the document_prompt and then joining them together with document_separator. It then adds that new string to the inputs with the variable name set by document_variable_name. Those inputs are then passed to the llm_chain.

    deprecatedclass
    BaseQAWithSourcesChain

    Question answering chain with sources over documents.

    View source on GitHub