Introducing LLM as a Judge: Scaling search relevance evaluation with AI
OpenSearch

Introducing LLM as a Judge: Scaling search relevance evaluation with AI


Summary

OpenSearch 3.5 introduces "LLM as a Judge," a new feature that leverages large language models to automatically and at scale evaluate search result relevance. This approach provides a cost-effective, consistent, and 24/7 alternative to traditional human evaluation methods, which are often expensive and difficult to scale. By integrating with the Search Relevance Workbench, it allows teams to use custom prompts to perform complex, multi-dimensional assessments tailored to their specific domains.
Read the Original Article

This article originally appeared on OpenSearch.

Read Full Article on Original Site

Related Articles

Popular from OpenSearch

1
Introducing the 2026-2027 OpenSearch Ambassadors
Introducing the 2026-2027 OpenSearch Ambassadors

Kylie Wagar-Dirks Mar 31, 2026 92 views

5
OpenSearch, Hybrid Vectors, and AI
OpenSearch, Hybrid Vectors, and AI

OpenSearch Apr 1, 2026 58 views