36.
a year ago, ~98% of tpuf queries were vector ANN
a year ago, ~98% of tpuf queries were vector ANN last 30d: 64% vector ANN 19% full-text BM25 13% filter-only 3% aggregate 1% other (sparse vector, exact kNN, ...)
@turbopuffer on Backlist
3 appearances on the backlist front page in the last 30 days.
2.
Turbopuffer adds constant-time copy-on-write branching (t.co)
Turbopuffer added instant copy-on-write namespace clones with 440ms p50 branch creation, making database-scale branching feel like a filesystem primitive
58.
SID-1 is an agentic search model by (x.com)
SID-1 is an agentic search model by @SID_AI → 1.9x recall over RAG + rerank → 24x faster, 99% cheaper than GPT-5.1 trained using large-scale RL on turbopuffer at 1k+ QPS bursts over 10M+ document corpora across thousands of steps