A high-performance vector and full-text search database.
Category: Code & Development. Pricing: priced per the vendor's website. Last modified: 2026-09-11.
turbopuffer is a scalable search database designed for production-grade vector and full-text search requirements. Built on object storage, it supports high-throughput indexing and low-latency querying for AI-driven applications and semantic search systems.
Not editorially tested: One AI Guide has not published a complete hands-on test record for this tool.
Published by LUMIVEX for One AI Guide.
Editorial lead: Said El Moussaoui. Our methodology is published at /how-we-rate.
Official vendor website: see the vendor link below.
turbopuffer is a code & development tool. A high-performance vector and full-text search database.
The One AI Guide catalog currently records turbopuffer as priced per the vendor's website. This is a directory summary, not a current vendor quote; always check the vendor's site for the latest plans before signing up.
The catalog does not currently record turbopuffer as Free or Freemium. That is not proof that no trial or limited offer exists; check the vendor's site for current options.
Common use cases include Powering semantic search for AI agents, Building recommendation systems, and Large-scale similarity search for production applications.
The One AI Guide catalog currently highlights these strengths: Cost-effective architecture built on object storage; High performance with sub-10ms latency and support for billions of vectors; Extreme scalability with production-proven support for massive datasets.