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Elastic Enterprise Search 8.5: Powerful machine learning, simplified ingestion, and accessible vector search functionality

Blog post from Elastic

Post Details
Company
Date Published
Author
Serena Chou,
Word Count
1,271
Company Posts That Month
28
Language
-
Hacker News Points
-
Post removed?
No
Summary

Elastic Enterprise Search 8.5 introduces a range of new features designed to enhance search experiences for various applications, including configurable machine learning and ingestion pipelines for natural language processing tasks. The update includes native connectors for MongoDB and MySQL, enabling users to leverage Elastic Stack's capabilities, and Python support for customizing connectors. These features allow users to easily build and manage search experiences with minimal complexity, benefiting from Elasticsearch’s speed and flexibility. Additionally, the release sees the general availability of App Search support for Elasticsearch-backed engines and hybrid ranking for vector similarity, providing advanced search functionalities. The update also includes new Workplace Search connectors for Microsoft Outlook, Teams, and Zoom, enhancing data integration and search experiences. Elastic Cloud customers can access these features, and new users can start with a free trial or download the self-managed version of the Elastic Stack.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 7 328 64 37 +25%
AI Model Fine-tuning 1 No monthly metrics for this publish month.
Data Pipeline 1 484 117 47 +49%
Observability 1 1,225 214 64 +27%
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