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Weaviate 1.25 Release

Blog post from Weaviate

Post Details
Company
Date Published
Author
Joon-Pil (JP) Hwang, Dave Cuthbert, Zain Hasan
Word Count
1,223
Company Posts That Month
5
Language
English
Hacker News Points
-
Post removed?
No
Summary

Weaviate 1.25 introduces dynamic vector indexing, enabling efficient scaling as data grows by dynamically switching from flat indexes to HNSW. Raft improves schema management and makes multi-node clusters more reliable. New modules allow users to host and run open source embedding and language models locally. Batch vectorization speeds up data import, while automatic tenant creation simplifies the process. Search improvements include hybrid search with vector similarity search and grouping methods, as well as keyword search with grouping.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 8 1,187 169 73 -55%
Kubernetes 1 1,327 144 77 -36%
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