@turbopuffer

turbopuffer is a vector and full-text search database built directly on object storage (like S3), offering sub-10ms query latencies while being roughly 10x cheaper than traditional in-memory vector databases. It supports hybrid vector plus BM25 full-text search with metadata filtering, and is used in production by companies like Cursor, Notion, Anthropic, and Linear at scales exceeding 4 trillion documents and 10 million writes per second.