Qdrant

Qdrant is at CIKM Rome: @krotenWanderung talked about vector index-native relevance feedback in production systems at Industry Track and, if you're curious about that or want to know how Qdrant can help your vector search in production, you can find her and get answers to any of your questions!

BM25 or Vectors? Time to assemble your team.

3 weeks until Qdrant and @ClickHouseDB's London Search Week Pub Quiz!

Nov 24, 6:30 PM GMT at Core Bar.

Food, first drink, and prizes on us. Come solo or bring up to 6.

Limited spots. RSVP: luma.com/londonsearchwe…

Qdrant 1.20 makes search cheaper and faster.

Cheaper: turbo8 and turbo16 store vectors in a quarter or half the space of float32, with recall holding steady.

Faster: nested filters get up to 4x more queries per second.

Check the blog in the first comment👇

On Chroma Cloud and looking at Qdrant? Writes stop Nov 22.

Book a call with one of our engineers and plan the cutover together: which collections go first, how to check results match, what changes in your query code.

qdrant.tech/migrate-from-c…

One week until our meetup in NYC.
RSVP for debates, drinks, and prizes.
November 10 | 6:30 PM ET | 87 Lafayette St | with @agoraIO
luma.com/nyc-meetup-nov…