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turbopuffer: fast search on object storage

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Inaugural blog post about the development of turbopuffer, a search engine that uses object storage and SSD caching for cost-effective, low latency search. This post describes into the motivation behind its creation, its unique architecture, and how it significantly reduces costs for large-scale vector searches. Discover how turbopuffer is transforming search infrastructure for companies like Cursor and Suno, offering a scalable and reliable solution.

turbopuffer: fast search on object storage NEW: Instant namespace branching NEW: Branching for instant, copy-on-write namespaces turbopuffer: fast search on object storage Updated: March 05, 2026 • Simon Hørup Eskildsen (Co-founder & CEO) In late 2022 I was helping my friends at Readwise scale their infrastructure ahead of the launch of Readwise Reader (read-it-later app). We wanted to build a highly requested feature: article recommendations and semantic search using vector embeddings. Readwise was paying ~$5k/month for their relational database, but we found that vector search on the same 10

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