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    Pythonlangchain-coreexample_selectorssemantic_similaritySemanticSimilarityExampleSelectorafrom_examples
    Method●Since v0.1

    afrom_examples

    Copy
    afrom_examples(
      cls,
      examples: list[dict],
      embeddings: Embeddings,
      vectorstore_cls: 
    View source on GitHub
    type
    [
    VectorStore
    ]
    ,
    k
    :
    int
    =
    4
    ,
    input_keys
    :
    list
    [
    str
    ]
    |
    None
    =
    None
    ,
    *
    ,
    example_keys
    :
    list
    [
    str
    ]
    |
    None
    =
    None
    ,
    vectorstore_kwargs
    :
    dict
    |
    None
    =
    None
    ,
    **
    vectorstore_cls_kwargs
    :
    Any
    =
    {
    }
    )
    ->
    SemanticSimilarityExampleSelector

    Parameters

    NameTypeDescription
    examples*list[dict]

    List of examples to use in the prompt.

    embeddings*Embeddings

    An initialized embedding API interface, e.g. OpenAIEmbeddings().

    vectorstore_cls*type[VectorStore]

    A vector store DB interface class, e.g. FAISS.

    kint
    Default:4
    input_keyslist[str] | None
    Default:None
    example_keyslist[str] | None
    Default:None
    vectorstore_kwargsdict | None
    Default:None
    vectorstore_cls_kwargsAny
    Default:{}

    Async create k-shot example selector using example list and embeddings.

    Reshuffles examples dynamically based on query similarity.

    Number of examples to select.

    If provided, the search is based on the input variables instead of all variables.

    If provided, keys to filter examples to.

    Extra arguments passed to similarity_search function of the VectorStore.

    optional kwargs containing url for vector store