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Personalize Search Results with OpenSearch Agentic Memory

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Session Abstract

Improving search relevance typically requires complex personalization pipelines — recommendation engines, feature stores, ML models. This session shows a simpler path: multiple lightweight agents that collaborate through OpenSearch’s agentic memory to understand and enrich queries in real time. Same query, different results for different users.

Session Description

Improving search relevance typically requires complex personalization pipelines — recommendation engines, feature stores, ML models. This session shows a simpler path: multiple lightweight agents that collaborate through OpenSearch’s agentic memory to understand and enrich queries in real time. Same query, different results for different users — no custom pipelines, no fine-tuning, just memory.


This session is sponsored by OpenSearch

Palais Atelier
09.Jun 2026
09:30am - 09:50am
Short Talk