wehub-resource-sync
102 lines
3.3 KiB
JavaScript
102 lines
3.3 KiB
JavaScript
const { toChunks, reportEmbeddingProgress } = require("../../helpers");
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class CohereEmbedder {
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constructor() {
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if (!process.env.COHERE_API_KEY)
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throw new Error("No Cohere API key was set.");
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this.className = "CohereEmbedder";
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// Cohere exposes an OpenAI-compatible API which lets us reuse the OpenAI SDK
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// across the app instead of the cohere-ai package. The compatibility endpoint
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// manages the embedding `input_type` internally so we do not set it ourselves.
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// https://docs.cohere.com/docs/compatibility-api
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const { OpenAI: OpenAIApi } = require("openai");
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this.openai = new OpenAIApi({
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baseURL: "https://api.cohere.ai/compatibility/v1",
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apiKey: process.env.COHERE_API_KEY,
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});
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this.model = process.env.EMBEDDING_MODEL_PREF || "embed-english-v3.0";
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// Limit of how many strings we can process in a single pass to stay with resource or network limits
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this.maxConcurrentChunks = 96; // Cohere's limit per request is 96
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this.embeddingMaxChunkLength = 1945; // https://docs.cohere.com/docs/embed-2 - assume a token is roughly 4 letters with some padding
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}
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log(text, ...args) {
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console.log(`\x1b[36m[${this.className}]\x1b[0m ${text}`, ...args);
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}
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async embedTextInput(textInput) {
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const result = await this.embedChunks(
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Array.isArray(textInput) ? textInput : [textInput]
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);
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return result?.[0] || [];
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}
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async embedChunks(textChunks = []) {
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const embeddingRequests = [];
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let chunksProcessed = 0;
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for (const chunk of toChunks(textChunks, this.maxConcurrentChunks)) {
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embeddingRequests.push(
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new Promise((resolve) => {
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this.openai.embeddings
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.create({
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model: this.model,
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input: chunk,
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})
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.then((result) => {
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chunksProcessed += chunk.length;
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reportEmbeddingProgress(chunksProcessed, textChunks.length);
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resolve({ data: result?.data, error: null });
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})
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.catch((e) => {
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chunksProcessed += chunk.length;
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reportEmbeddingProgress(chunksProcessed, textChunks.length);
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e.type =
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e?.response?.data?.error?.code ||
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e?.response?.status ||
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"failed_to_embed";
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e.message = e?.response?.data?.error?.message || e.message;
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resolve({ data: [], error: e });
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});
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})
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);
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}
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const { data = [], error = null } = await Promise.all(
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embeddingRequests
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).then((results) => {
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const errors = results
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.filter((res) => !!res.error)
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.map((res) => res.error)
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.flat();
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if (errors.length > 0) {
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let uniqueErrors = new Set();
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errors.map((error) =>
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uniqueErrors.add(`[${error.type}]: ${error.message}`)
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);
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return { data: [], error: Array.from(uniqueErrors).join(", ") };
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}
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return {
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data: results.map((res) => res?.data || []).flat(),
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error: null,
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};
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});
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if (!!error) throw new Error(`Cohere Failed to embed: ${error}`);
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return data.length > 0 &&
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data.every((embd) => embd.hasOwnProperty("embedding"))
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? data.map((embd) => embd.embedding)
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: null;
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}
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}
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module.exports = {
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CohereEmbedder,
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};
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