langchain.js
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    Install and import from @langchain/baidu-qianfan instead.

    Hierarchy (View Summary)

    Implements

    Index

    Constructors

    • Parameters

      • Optionalfields: Partial<BaiduQianfanEmbeddingsParams> & {
            baiduApiKey?: string;
            baiduSecretKey?: string;
            verbose?: boolean;
        }

      Returns BaiduQianfanEmbeddings

    Properties

    accessToken: string
    baiduApiKey: string
    baiduSecretKey: string
    batchSize: number = 16

    The maximum number of characters allowed for embedding in a single request varies by model:

    • Embedding-V1 model: up to 1000 characters
    • bge-large-zh model: up to 2000 characters
    • bge-large-en model: up to 2000 characters
    • tao-8k model: up to 28000 characters

    Note: These limits are model-specific and should be adhered to for optimal performance.

    modelName: "embedding-v1" | "bge_large_zh" | "bge_large_en" | "tao-8k" = "embedding-v1"

    Model name to use

    stripNewLines: boolean = true

    Whether to strip new lines from the input text.

    Methods

    • Method to generate embeddings for an array of documents. Splits the documents into batches and makes requests to the BaiduQianFan API to generate embeddings.

      Parameters

      • texts: string[]

        Array of documents to generate embeddings for.

      Returns Promise<number[][]>

      Promise that resolves to a 2D array of embeddings for each document.

    • Method to generate an embedding for a single document. Calls the embeddingWithRetry method with the document as the input.

      Parameters

      • text: string

        Document to generate an embedding for.

      Returns Promise<number[]>

      Promise that resolves to an embedding for the document.