LangChain Reference home pageLangChain ReferenceLangChain Reference
  • GitHub
  • Main Docs
Deep Agents
LangChain
LangGraph
Integrations
LangSmith
  • Overview
    • Overview
    • Caches
    • Callbacks
    • Documents
    • Document loaders
    • Embeddings
    • Exceptions
    • Language models
    • Serialization
    • Output parsers
    • Prompts
    • Rate limiters
    • Retrievers
    • Runnables
    • Utilities
    • Vector stores
    MCP Adapters
    Standard Tests
    Text Splitters
    ⌘I

    LangChain Assistant

    Ask a question to get started

    Enter to send•Shift+Enter new line

    Menu

    OverviewCachesCallbacksDocumentsDocument loadersEmbeddingsExceptionsLanguage modelsSerializationOutput parsersPromptsRate limitersRetrieversRunnablesUtilitiesVector stores
    MCP Adapters
    Standard Tests
    Text Splitters
    Language
    Theme
    Pythonlangchain-corevectorstoresbaseVectorStoresimilarity_search_with_score
    Methodā—Since v0.2

    similarity_search_with_score

    Copy
    similarity_search_with_score(
      self,
      *args: Any = (),
      **kwargs: Any = {}
    )
    View source on GitHub
    ->
    list
    [
    tuple
    [
    Document
    ,
    float
    ]
    ]

    Parameters

    NameTypeDescription
    *argsAny
    Default:()
    **kwargsAny
    Default:{}

    Run similarity search with distance.

    Arguments to pass to the search method.

    Arguments to pass to the search method.