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Elastic Enterprise Search 8.4: Supercharged relevance for Elasticsearch

Blog post from Elastic

Post Details
Company
Date Published
Author
Nick Chow,
Word Count
802
Language
-
Hacker News Points
-
Summary

Elastic Enterprise Search 8.4 introduces significant enhancements to Elasticsearch, including hybrid ranking for vector similarity, which integrates vector search with existing scoring functions through a single _search endpoint. This update simplifies the query process by eliminating the need for separate endpoints and manual rescoring, making it highly applicable for various real-world applications. Additionally, the release debuts an improved content management area, offering dynamic templates, a native web crawler, and compatibility with Elastic App Search, enhancing relevance tuning and search analytics. The version also marks the public beta of App Search support for Elasticsearch index-backed engines, enabling precision tuning and seamless integration of relevance tools. Furthermore, PDF extraction capabilities reach global availability, allowing operators to efficiently manage and discover content within large document repositories. Existing and new Elastic Cloud customers can access these features through the Elastic Cloud console or by downloading the self-managed version of the Elastic Stack.