Turbopuffer

Turbopuffer is a serverless vector and full-text search engine that stores data on object storage (S3, GCS, Azure Blob) with tiered caching through NVMe SSDs and RAM. It supports both dense vector similarity search and BM25 full-text search. The architecture handles 2.5T+ documents with sub-10ms p50 latency for cached queries, at roughly 10x lower cost than alternatives. Storage starts at $70/TB/month. Used by Cursor, Notion, Linear, Superhuman, and Grammarly.