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Qdrant 1.19 - TurboQuant Datatype & Memory Tiers

Blog post from Qdrant

Post Details
Company
Date Published
Author
Andrey Vasnetsov
Word Count
1,675
Company Posts That Month
1
Language
English
Hacker News Points
-
Post removed?
No
Summary

Qdrant 1.19 introduces Turbo4, a 4-bit vector storage datatype that eliminates the full-precision copy to reduce vector storage by up to ninefold, trading rescoring capability and maximum recall for lower disk use and improved throughput. The release unifies component-level memory configuration through pinned, cached, and cold tiers, adds tenant-specific IDF statistics for more accurate multi-tenant sparse search, and expands filtering with indexed keyword-prefix matching and deterministic slice-based dataset partitioning. Web UI improvements include live resharding status, a server-driven visualizer that supports tens of thousands of vectors, interactive neighborhood and region selection, and payload-index management. Other additions include resource quotas, replica read affinity, language-neutral BM25 processing, faster high-cardinality faceting, and removal of legacy search, recommend, and discover endpoints in favor of the unified query API, with staged upgrade guidance for cloud and self-hosted deployments.

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