agsamantha/node_modules/@langchain/community/dist/embeddings/bedrock.d.ts
2024-10-02 15:15:21 -05:00

75 lines
3 KiB
TypeScript

import { BedrockRuntimeClient } from "@aws-sdk/client-bedrock-runtime";
import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
import type { CredentialType } from "../utils/bedrock/index.js";
/**
* @deprecated The BedrockEmbeddings integration has been moved to the `@langchain/aws` package. Import from `@langchain/aws` instead.
*
* Interface that extends EmbeddingsParams and defines additional
* parameters specific to the BedrockEmbeddings class.
*/
export interface BedrockEmbeddingsParams extends EmbeddingsParams {
/**
* Model Name to use. Defaults to `amazon.titan-embed-text-v1` if not provided
*
*/
model?: string;
/**
* A client provided by the user that allows them to customze any
* SDK configuration options.
*/
client?: BedrockRuntimeClient;
region?: string;
credentials?: CredentialType;
}
/**
* @deprecated The BedrockEmbeddings integration has been moved to the `@langchain/aws` package. Import from `@langchain/aws` instead.
*
* Class that extends the Embeddings class and provides methods for
* generating embeddings using the Bedrock API.
* @example
* ```typescript
* const embeddings = new BedrockEmbeddings({
* region: "your-aws-region",
* credentials: {
* accessKeyId: "your-access-key-id",
* secretAccessKey: "your-secret-access-key",
* },
* model: "amazon.titan-embed-text-v1",
* });
*
* // Embed a query and log the result
* const res = await embeddings.embedQuery(
* "What would be a good company name for a company that makes colorful socks?"
* );
* console.log({ res });
* ```
*/
export declare class BedrockEmbeddings extends Embeddings implements BedrockEmbeddingsParams {
model: string;
client: BedrockRuntimeClient;
batchSize: number;
constructor(fields?: BedrockEmbeddingsParams);
/**
* Protected method to make a request to the Bedrock API to generate
* embeddings. Handles the retry logic and returns the response from the
* API.
* @param request Request to send to the Bedrock API.
* @returns Promise that resolves to the response from the API.
*/
protected _embedText(text: string): Promise<number[]>;
/**
* Method that takes a document as input and returns a promise that
* resolves to an embedding for the document. It calls the _embedText
* method with the document as the input.
* @param document Document for which to generate an embedding.
* @returns Promise that resolves to an embedding for the input document.
*/
embedQuery(document: string): Promise<number[]>;
/**
* Method to generate embeddings for an array of texts. Calls _embedText
* method which batches and handles retry logic when calling the AWS Bedrock API.
* @param documents Array of texts for which to generate embeddings.
* @returns Promise that resolves to a 2D array of embeddings for each input document.
*/
embedDocuments(documents: string[]): Promise<number[][]>;
}