Qdrant Has a Free Vector Database API for AI and Semantic Search
Qdrant is a vector database built for AI applications — semantic search, recommendation systems, and RAG pipelines. REST and gRPC APIs with filtering and payload storage. Setup docker run -p 6333:6...
Source: DEV Community
Qdrant is a vector database built for AI applications — semantic search, recommendation systems, and RAG pipelines. REST and gRPC APIs with filtering and payload storage. Setup docker run -p 6333:6333 qdrant/qdrant Create Collection const response = await fetch('http://localhost:6333/collections/products', { method: 'PUT', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify({ vectors: { size: 384, distance: 'Cosine' } }) }); Index Documents with Embeddings import { QdrantClient } from '@qdrant/js-client-rest'; const client = new QdrantClient({ url: 'http://localhost:6333' }); // Upsert points with vectors and payload await client.upsert('products', { points: [ { id: 1, vector: await getEmbedding('Wireless bluetooth headphones with noise cancellation'), payload: { name: 'Headphones', price: 89.99, category: 'audio' } }, { id: 2, vector: await getEmbedding('Mechanical keyboard with Cherry MX switches'), payload: { name: 'Keyboard', price: 129.99, category: 'peripherals'
