@langchain/community/dist/embeddings/bytedance_doubao.d.cts

Third-party integrations for LangChain.js

import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";

//#region src/embeddings/bytedance_doubao.d.ts
interface ByteDanceDoubaoEmbeddingsParams extends EmbeddingsParams {
  /** Model name to use */
  model: string;
  /**
   * Timeout to use when making requests to ByteDanceDoubao.
   */
  timeout?: number;
  /**
   * The maximum number of documents to embed in a single request. This is
   * limited by the ByteDanceDoubao API to a maximum of 2048.
   */
  batchSize?: number;
  /**
   * Whether to strip new lines from the input text.
   */
  stripNewLines?: boolean;
}
declare class ByteDanceDoubaoEmbeddings extends Embeddings implements ByteDanceDoubaoEmbeddingsParams {
  model: string;
  batchSize: number;
  stripNewLines: boolean;
  apiKey: string;
  constructor(fields?: Partial<ByteDanceDoubaoEmbeddingsParams> & {
    verbose?: boolean;
    apiKey?: string;
  });
  /**
   * Method to generate embeddings for an array of documents. Splits the
   * documents into batches and makes requests to the ByteDanceDoubao API to generate
   * embeddings.
   * @param texts Array of documents to generate embeddings for.
   * @returns Promise that resolves to a 2D array of embeddings for each document.
   */
  embedDocuments(texts: string[]): Promise<number[][]>;
  /**
   * Method to generate an embedding for a single document. Calls the
   * embeddingWithRetry method with the document as the input.
   * @param text Document to generate an embedding for.
   * @returns Promise that resolves to an embedding for the document.
   */
  embedQuery(text: string): Promise<number[]>;
  /**
   * Method to generate an embedding params.
   * @param texts Array of documents to generate embeddings for.
   * @returns an embedding params.
   */
  private getParams;
  private embeddingWithRetry;
}
//#endregion
export { ByteDanceDoubaoEmbeddings, ByteDanceDoubaoEmbeddingsParams };
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