"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); exports.VoyageEmbeddings = void 0; const env_1 = require("@langchain/core/utils/env"); const embeddings_1 = require("@langchain/core/embeddings"); const chunk_array_1 = require("@langchain/core/utils/chunk_array"); /** * A class for generating embeddings using the Voyage AI API. */ class VoyageEmbeddings extends embeddings_1.Embeddings { /** * Constructor for the VoyageEmbeddings class. * @param fields - An optional object with properties to configure the instance. */ constructor(fields) { const fieldsWithDefaults = { ...fields }; super(fieldsWithDefaults); Object.defineProperty(this, "modelName", { enumerable: true, configurable: true, writable: true, value: "voyage-01" }); Object.defineProperty(this, "batchSize", { enumerable: true, configurable: true, writable: true, value: 8 }); Object.defineProperty(this, "apiKey", { enumerable: true, configurable: true, writable: true, value: void 0 }); Object.defineProperty(this, "basePath", { enumerable: true, configurable: true, writable: true, value: "https://api.voyageai.com/v1" }); Object.defineProperty(this, "apiUrl", { enumerable: true, configurable: true, writable: true, value: void 0 }); Object.defineProperty(this, "headers", { enumerable: true, configurable: true, writable: true, value: void 0 }); Object.defineProperty(this, "inputType", { enumerable: true, configurable: true, writable: true, value: void 0 }); const apiKey = fieldsWithDefaults?.apiKey || (0, env_1.getEnvironmentVariable)("VOYAGEAI_API_KEY"); if (!apiKey) { throw new Error("Voyage AI API key not found"); } this.modelName = fieldsWithDefaults?.modelName ?? this.modelName; this.batchSize = fieldsWithDefaults?.batchSize ?? this.batchSize; this.apiKey = apiKey; this.apiUrl = `${this.basePath}/embeddings`; this.inputType = fieldsWithDefaults?.inputType; } /** * Generates embeddings for an array of texts. * @param texts - An array of strings to generate embeddings for. * @returns A Promise that resolves to an array of embeddings. */ async embedDocuments(texts) { const batches = (0, chunk_array_1.chunkArray)(texts, this.batchSize); const batchRequests = batches.map((batch) => this.embeddingWithRetry({ model: this.modelName, input: batch, input_type: this.inputType, })); const batchResponses = await Promise.all(batchRequests); const embeddings = []; for (let i = 0; i < batchResponses.length; i += 1) { const batch = batches[i]; const { data: batchResponse } = batchResponses[i]; for (let j = 0; j < batch.length; j += 1) { embeddings.push(batchResponse[j].embedding); } } return embeddings; } /** * Generates an embedding for a single text. * @param text - A string to generate an embedding for. * @returns A Promise that resolves to an array of numbers representing the embedding. */ async embedQuery(text) { const { data } = await this.embeddingWithRetry({ model: this.modelName, input: text, input_type: this.inputType, }); return data[0].embedding; } /** * Makes a request to the Voyage AI API to generate embeddings for an array of texts. * @param request - An object with properties to configure the request. * @returns A Promise that resolves to the response from the Voyage AI API. */ async embeddingWithRetry(request) { const makeCompletionRequest = async () => { const url = `${this.apiUrl}`; const response = await fetch(url, { method: "POST", headers: { "Content-Type": "application/json", Authorization: `Bearer ${this.apiKey}`, ...this.headers, }, body: JSON.stringify(request), }); const json = await response.json(); return json; }; return this.caller.call(makeCompletionRequest); } } exports.VoyageEmbeddings = VoyageEmbeddings;