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UID:pretalx-bbuzz26-VUKE9F@program.berlinbuzzwords.de
DTSTART;TZID=CET:20260609T093000
DTEND;TZID=CET:20260609T095000
DESCRIPTION:Improving search relevance typically requires complex personali
 zation pipelines — recommendation engines\, feature stores\, ML models. 
 This session shows a simpler path: multiple lightweight agents that collab
 orate through OpenSearch's agentic memory to understand and enrich queries
  in real time. Same query\, different results for different users.
DTSTAMP:20260615T135309Z
LOCATION:Palais Atelier
SUMMARY:Personalize Search Results with OpenSearch Agentic Memory - Hajer B
 ouafif
URL:https://program.berlinbuzzwords.de/bbuzz26/talk/VUKE9F/
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