langchain.js
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    Interface MinimaxEmbeddingsParams

    Interface for MinimaxEmbeddings parameters. Extends EmbeddingsParams and defines additional parameters specific to the MinimaxEmbeddings class.

    interface MinimaxEmbeddingsParams {
        apiKey?: string;
        batchSize?: number;
        minimaxApiKey?: string;
        minimaxGroupId?: string;
        model: string;
        modelName: string;
        stripNewLines?: boolean;
        type?: "query" | "db";
    }

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    Properties

    apiKey? batchSize? minimaxApiKey? minimaxGroupId? model modelName stripNewLines? type?

    Properties

    apiKey?: string

    Secret key to use when making requests. Defaults to the value of MINIMAX_API_KEY environment variable.

    batchSize?: number

    The maximum number of documents to embed in a single request. This is limited by the Minimax API to a maximum of 4096.

    minimaxApiKey?: string

    Secret key to use when making requests. Defaults to the value of MINIMAX_API_KEY environment variable. Alias for apiKey

    minimaxGroupId?: string

    API key to use when making requests. Defaults to the value of MINIMAX_GROUP_ID environment variable.

    model: string

    Model name to use

    modelName: string

    Model name to use Alias for model

    stripNewLines?: boolean

    Whether to strip new lines from the input text. This is recommended by Minimax, but may not be suitable for all use cases.

    type?: "query" | "db"

    The target use-case after generating the vector. When using embeddings, the vector of the target content is first generated through the db and stored in the vector database, and then the vector of the retrieval text is generated through the query. Note: For the parameters of the partial algorithm, we adopted a separate algorithm plan for query and db. Therefore, for a paragraph of text, if it is to be used as a retrieval text, it should use the db, and if it is used as a retrieval text, it should use the query.

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