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Elastic Search 8.9: Combine vector, keyword, and semantic retrieval with hybrid search

Blog post from Elastic

Post Details
Company
Date Published
Author
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Word Count
892
Company Posts That Month
28
Language
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Hacker News Points
-
Post removed?
No
Summary

Elastic Search 8.9 introduces several advancements, including hybrid search using Reciprocal Rank Fusion (RRF) to integrate vector, keyword, and semantic search techniques for enhanced search results. Performance improvements are highlighted with vector search and ingestion being over 30% faster due to the use of the Panama vector API for native hardware instructions. The release also includes a new SharePoint Online connector for improved data ingestion with document-level security, and public search endpoints through a search applications beta, allowing for publicly accessible search experiences. These features are available on Elastic Cloud and for download with the Elastic Stack, providing users with flexible options for implementing the latest enhancements.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 4 1,138 165 70 -23%
Kubernetes 1 3,288 253 67 +116%
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