Vector and full-text search infrastructure
turbopuffer
turbopuffer builds a vector and full-text search database for AI applications. Developers write documents, embeddings, text and metadata through an API, then retrieve information using semantic similarity, keyword matching or hybrid search with filters. Customers include Anthropic, Atlassian, Cursor and Notion. Its architecture separates compute from storage, keeping data in object storage and bringing it into NVMe or memory caches when queried.
Launched in 2023 by former Shopify engineers Simon Hørup Eskildsen and Justine Li, turbopuffer is a Canadian, remote-first company led by Eskildsen as CEO. Its engineering approach includes a clustering-based vector index inspired by SPFresh, which supports incremental updates without periodic rebuilding. Its native filtering connects attribute indexes to those vector clusters, allowing searches to skip clusters without matching documents and evaluate matching candidates within the remaining clusters. This integrates filtering into retrieval instead of applying it only before or after vector search.
In April 2026, the company reported four trillion documents in production and over 25,000 searches per second. Sacra estimated its annualized revenue run rate at $100 million in March 2026. Separately, turbopuffer secured financing of an undisclosed amount from Lachy Groom and Thrive Capital in 2025.
1 talk
Newest first1 speaker at AIE
Affiliations reflect their AIE appearances, not necessarily current employment.
Messages from the stage
Integrated retrieval versus an external search tool
Rogut demonstrates TurboGrep/TPuff Search, which chunks code, embeds it with a Voyage code model, and indexes it in turbopuffer. He contrasts adding search as an external tool with Cursor’s integrated Composer retrieval approach.
Affiliations reflect each recorded session, not necessarily current employment.
Company sources · checked 2026-08-28
- turbopuffer - fast search engine built on object storage
- turbopuffer the company
- turbopuffer blog
- Native filtering for high-recall vector search
- Building the database for trillion-scale AI search
- Ex-Shopify engineers raise fresh financing to scale Turbopuffer’s AI search
- Turbopuffer revenue, funding & news
