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77 lines
2.1 KiB
JavaScript
77 lines
2.1 KiB
JavaScript
const fetch = require('node-fetch').default;
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const { SECRET_KEYS, readSecret } = require('./endpoints/secrets');
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const SOURCES = {
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'nomicai': {
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secretKey: SECRET_KEYS.NOMICAI,
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url: 'api-atlas.nomic.ai/v1/embedding/text',
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model: 'nomic-embed-text-v1.5',
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},
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};
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/**
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* Gets the vector for the given text batch from an OpenAI compatible endpoint.
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* @param {string[]} texts - The array of texts to get the vector for
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* @param {string} source - The source of the vector
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* @returns {Promise<number[][]>} - The array of vectors for the texts
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*/
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async function getNomicAIBatchVector(texts, source) {
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const config = SOURCES[source];
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if (!config) {
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console.log('Unknown source', source);
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throw new Error('Unknown source');
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}
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const key = readSecret(config.secretKey);
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if (!key) {
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console.log('No API key found');
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throw new Error('No API key found');
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}
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const url = config.url;
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let response;
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response = await fetch(`https://${url}`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${key}`,
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},
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body: JSON.stringify({
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texts: texts,
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model: config.model,
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}),
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});
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if (!response.ok) {
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const text = await response.text();
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console.log('API request failed', response.statusText, text);
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throw new Error('API request failed');
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}
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const data = await response.json();
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if (!Array.isArray(data?.embeddings)) {
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console.log('API response was not an array');
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throw new Error('API response was not an array');
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}
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return data.embeddings;
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}
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/**
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* Gets the vector for the given text from an OpenAI compatible endpoint.
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* @param {string} text - The text to get the vector for
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* @param {string} source - The source of the vector
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* @returns {Promise<number[]>} - The vector for the text
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*/
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async function getNomicAIVector(text, source) {
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const vectors = await getNomicAIBatchVector([text], source);
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return vectors[0];
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}
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module.exports = {
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getNomicAIVector,
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getNomicAIBatchVector,
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};
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