weaviate-ts-client

import { WeaviateClient } from 'weaviate-ts-client'; async function run() { // Ensure your Weaviate instance is running, e.g., using Docker Compose. // Environment variables can be set for configuration: // WEAVIATE_SCHEME=http // WEAVIATE_HOST=localhost:8080 // WEAVIATE_API_KEY=YOUR_API_KEY (if using auth, e.g., for Weaviate Cloud) const client = new WeaviateClient({ scheme: process.env.WEAVIATE_SCHEME ?? 'http', host: process.env.WEAVIATE_HOST ?? 'localhost:8080', // Uncomment and provide your API key if your Weaviate instance requires authentication // apiKey: process.env.WEAVIATE_API_KEY ?? '', connectionTimeoutMs: 10000, }); try { const collectionName = 'MyTestCollection'; // 1. Check if collection exists and create if not const myCollection = client.collections.get(collectionName); const collectionExists = await myCollection.exists(); if (!collectionExists) { await client.collections.create({ name: collectionName, properties: [ { name: 'title', dataType: 'text' }, { name: 'year', dataType: 'int' }, ], vectorizers: [ { name: 'title_vectorizer', // Unique name for the vectorizer configuration vectorizerConfig: { vectorizerClassName: 'text2vec-openai', // Requires 'text2vec-openai' module to be enabled in Weaviate model: 'text-embedding-ada-002', vectorizePropertyName: true, // Vectorize the 'title' property }, }, ], }); console.log(`Collection '${collectionName}' created successfully.`); } else { console.log(`Collection '${collectionName}' already exists.`); } // 2. Add data items to the collection const dataManager = client.collections.data; const item1 = await dataManager.insert({ collection: collectionName, data: { title: 'The Hitchhikers Guide to the Galaxy', year: 1979, }, }); console.log('Added data item 1 (UUID):', item1.uuid); const item2 = await dataManager.insert({ collection: collectionName, data: { title: 'The Restaurant at the End of the Universe', year: 1980, }, }); console.log('Added data item 2 (UUID):', item2.uuid); // 3. Perform a BM25 search on the collection const queryResult = await client.collections.query.bm25(collectionName, { query: 'guide galaxy', properties: ['title'], }); console.log('BM25 Search results (title containing "guide galaxy"):', queryResult.objects.map(o => o.properties?.title)); } catch (error) { console.error('An error occurred:', error instanceof Error ? error.message : String(error)); } } run();