langchain.js
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    Class DeepInfraEmbeddings

    A class for generating embeddings using the DeepInfra API.

    // Embed a query using the DeepInfraEmbeddings class
    const model = new DeepInfraEmbeddings();
    const res = await model.embedQuery(
      "What would be a good company name for a company that makes colorful socks?",
    );
    console.log({ res });

    Hierarchy (View Summary)

    Implements

    Index

    Constructors

    constructor

    Properties

    apiToken batchSize modelName

    Methods

    embedDocuments embedQuery

    Constructors

    • Constructor for the DeepInfraEmbeddings class.

      Parameters

      • Optionalfields: Partial<DeepInfraEmbeddingsParams> & { verbose?: boolean }

        An optional object with properties to configure the instance.

      Returns DeepInfraEmbeddings

    Properties

    apiToken: string

    The API token to use for authentication. If not provided, it will be read from the DEEPINFRA_API_TOKEN environment variable.

    batchSize: number

    The maximum number of texts to embed in a single request. This is limited by the DeepInfra API to a maximum of 1024.

    modelName: string

    The model ID to use for generating completions. Default: sentence-transformers/clip-ViT-B-32

    Methods

    • Generates embeddings for an array of texts.

      Parameters

      • inputs: string[]

        An array of strings to generate embeddings for.

      Returns Promise<number[][]>

      A Promise that resolves to an array of embeddings.

    • Generates an embedding for a single text.

      Parameters

      • text: string

        A string to generate an embedding for.

      Returns Promise<number[]>

      A Promise that resolves to an array of numbers representing the embedding.

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