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mongodb-rag

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RAG (Retrieval Augmented Generation) library for MongoDB Vector Search

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// bin/commands/index/test-index.js import chalk from 'chalk'; import { getMongoClient } from '../../utils/mongodb.js'; import { isConfigValid } from '../../utils/validation.js'; export async function testIndex(config) { if (!isConfigValid(config)) { throw new Error("Configuration missing. Run 'npx mongodb-rag init' first."); } const client = await getMongoClient(config.mongoUrl); try { const collection = client.db(config.database).collection(config.collection); const indexes = await collection.indexes(); if (indexes.some(idx => idx.name === config.indexName)) { console.log(chalk.green(`✅ Vector Index "${config.indexName}" exists and is ready for search.`)); return { exists: true, indexName: config.indexName }; } else { console.warn(chalk.yellow(`⚠️ Vector Index "${config.indexName}" not found! Run 'npx mongodb-rag create-index' first.`)); return { exists: false, indexName: config.indexName }; } } catch (error) { console.error(chalk.red("❌ Error testing index:"), error.message); throw error; } finally { await client.close(); } }