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-classicindexesvectorstoreVectorstoreIndexCreator
    Class●Since v1.0

    VectorstoreIndexCreator

    Logic for creating indexes.

    Copy
    VectorstoreIndexCreator()

    Bases

    BaseModel

    Used in Docs

    • Apify dataset integration
    • Figma integration
    • HuggingFace dataset integration
    • Iugu integration
    • Modern treasury integration

    Attributes

    attribute
    vectorstore_cls: type[VectorStore]
    attribute
    embedding: Embeddings
    attribute
    text_splitter: TextSplitter
    attribute
    vectorstore_kwargs: dict
    attribute
    model_config

    Methods

    method
    from_loaders

    Create a VectorStore index from a list of loaders.

    method
    afrom_loaders

    Asynchronously create a VectorStore index from a list of loaders.

    method
    from_documents

    Create a VectorStore index from a list of documents.

    method
    afrom_documents

    Asynchronously create a VectorStore index from a list of documents.

    View source on GitHub