turbopuffer

@turbopuffer

{vector, full-text} search engine built on object storage. fast, cheap, trillion scale. powers Anthropic, Harvey, Notion, Cognition, and more

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Pinned
turbopuffer
@turbopuffer
Sep 30
we're changing tpuf's storage architecture so we can keep pushing the search frontier the new engine (v3) now passes CI, but we have to make it fast before we ship it to prod we're grinding query plans in public until v3 wins on everything follow along: turbopuffer.com/v3
22
turbopuffer
@turbopuffer
1h
filters on tpuf v3 are now faster than prod (v2) instead of filtering row-at-a-time, v3 will push compute down to storage to find shortcuts. example: if all rows in a block have the same value for x, then x=8 reduces to one check more in the v3 devlog: [tpuf.link/v3/2026-10-08]
v3 filtering is now faster than v2
From tpuf.link
turbopuffer
@turbopuffer
4h
binary quantization lets tpuf store & score more vectors in RAM. to keep recall high, we rescore full-precision candidates from SSD we cut vector search latency up to 4.3x on low-mem VMs by dynamically pruning rescore candidates less rescoring→ fewer SSD reads→ faster search
3
turbopuffer
@turbopuffer
Oct 7
september changelog tpuf.link/chlog
1
turbopuffer
@turbopuffer
Oct 6
tpuf v3's new storage layout will enable batched execution on all query types — including filters, order by, and aggregations in the latest test run, batched reads made ORDER BY up to 40% faster another small step toward fully vectorized puffin' in prod turbopuffer.com/v3
1