turbopuffer

turbopuffer provides a vector and full-text search database designed for speed and cost-efficiency. It operates directly on object storage, offering a 10x cost advantage over traditional solutions. This architecture ensures extreme scalability, handling trillions of documents and millions of writes per second. You get low latency search results, often under 10 milliseconds for the 50th percentile, making it suitable for demanding applications.

turbopuffer supports billions of vectors, enabling high-performance similarity searches. You can combine vector search with full-text search for hybrid results. The system also includes metadata filtering, allowing you to refine your searches precisely. Its automatic scaling capabilities mean your search infrastructure grows with your data needs without manual intervention.

This search engine is ideal for AI assistants, semantic search platforms, recommendation engines, and any system requiring efficient similarity matching. You can integrate turbopuffer into your existing workflows using its client API. The platform is trusted by leading companies for production-scale deployments, demonstrating its reliability and performance under heavy loads.