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Weaviate 1.17 release

Blog post from Weaviate

Post Details
Company
Date Published
Author
Erika Cardenas, Zain Hasan, Laura Ham, Dan Dascalescu
Word Count
1,962
Company Posts That Month
5
Language
English
Hacker News Points
-
Post removed?
No
Summary

Weaviate 1.17 introduces replication for improved database resilience and performance, hybrid search combining dense and sparse vectors, BM25 for keyword-based search ranking, faster startup times and more efficient imports, as well as various other improvements and bug fixes. Replication enables multi-node configuration, improving availability, throughput, and enabling zero downtime upgrades. Hybrid search combines the strengths of sparse and dense vectors to deliver better search results. The BM25 operator performs case-insensitive keyword search with a ranking function based on term frequency and inverse document frequency. Faster startup times are achieved by persisting computations on disk, adjusting memtable size dynamically, and improving batch import latency.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 4 273 73 35 -17%
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