turbopuffer
@turbopuffer
{vector, full-text} search engine built on object storage. fast, cheap, 1T scale. powers Anthropic, Cursor, Notion, and more
가입 October 2023
5 팔로잉 중 14.5K 팬
new: i8 vectors
f32: 4 bytes/dim
i8: 1 byte/dim
4x fewer bytes → 75% lower storage and query costs + faster queries
when embedded with a quantization-aware model (e.g. voyage-4-large) trained on i8 vectors, recall loss can be ~0!
docs:
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