Class CohereEmbeddings

A class for generating embeddings using the Cohere API.

Example

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

⚠️ Deprecated ⚠️

Use CohereEmbeddings from @langchain/cohere instead.

This feature is deprecated and will be removed in the future.

It is not recommended for use.

Hierarchy (view full)

Implements

Constructors

constructor

Properties

batchSize modelName

Methods

embedDocuments embedQuery

Constructors

constructor

Properties

batchSize

batchSize: number = 48

The maximum number of documents to embed in a single request. This is limited by the Cohere API to a maximum of 96.

modelName

modelName: string = "small"

Methods

embedDocuments

  • embedDocuments(texts): Promise<number[][]>

  • Generates embeddings for an array of texts.

    Parameters

    • texts: string[]

      An array of strings to generate embeddings for.

    Returns Promise<number[][]>

    A Promise that resolves to an array of embeddings.

embedQuery

  • embedQuery(text): Promise<number[]>

  • 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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