# turbopuffer

turbopuffer is a search and retrieval database designed to make vector and full-text search dramatically cheaper at scale by building on object storage instead of keeping everything in memory. It stores data in services like S3 and caches hot data on SSDs and RAM, so teams can index billions of vectors and documents while paying mainly for the storage they use — a fraction of the cost of always-on in-memory vector databases. Despite the storage-first design, it delivers fast, fresh queries with hybrid vector and keyword search, namespaces for multi-tenant isolation, and a simple HTTP API. Because it scales to enormous numbers of small namespaces economically, it is especially suited to products that need per-user or per-document search indexes. turbopuffer targets engineering teams building RAG systems, AI search, and recommendation features that need accurate retrieval over large corpora without runaway infrastructure bills.

## Quick facts

- Categories: LLM, Developer Tools, Data Analysis
- Pricing: Paid
- Free plan: No
- Official site: https://turbopuffer.com
- Last checked: 2026-11-02

## Links

- Nextool.ai page: https://nextool.ai/tools/turbopuffer/
- Alternatives: https://nextool.ai/alternatives/turbopuffer/

Source: Nextool.ai (https://nextool.ai/tools/turbopuffer/). Pricing and features change; confirm on the provider's site before relying on them.