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Search AI with autotune: showcasing agentic search O11y autotune
Showcasing agentic search relevance tuning using observability signals. Every search, question, and interaction automatically trains your ranking models. No assembling of judgment lists. No manual rules. Just continuous improvement driven by real user behavior.
Test it yourself: https://github.com/jwilliams-elastic/agentic-search-o11y-autotune
00:00 Introduction
01:18 Search AI workflow
02:53 Demo: Search AI autotune
10:13 Mastra workflow
12:11 LTR model feature importance
13:01 In summary
Speaker: James Williams, Senior Principal Solutions Architect @ Elastic
Questions? Get answers here: https://discuss.elastic.co/
Connect with the Elastic community through Slack: https://ela.st/slack
#SearchAI #Elasticsearch #Autotune #Observability
Видео Search AI with autotune: showcasing agentic search O11y autotune канала Official Elastic Community
Test it yourself: https://github.com/jwilliams-elastic/agentic-search-o11y-autotune
00:00 Introduction
01:18 Search AI workflow
02:53 Demo: Search AI autotune
10:13 Mastra workflow
12:11 LTR model feature importance
13:01 In summary
Speaker: James Williams, Senior Principal Solutions Architect @ Elastic
Questions? Get answers here: https://discuss.elastic.co/
Connect with the Elastic community through Slack: https://ela.st/slack
#SearchAI #Elasticsearch #Autotune #Observability
Видео Search AI with autotune: showcasing agentic search O11y autotune канала Official Elastic Community
Elastic Elasticsearch Elastic LLM LTR BM25 Dense Vector Search Semantic Search Search Templates ESQL LLM Search AI Search Search Relevance Search Ranking XGBoost Machine Learning ML Inference Relevance Tuning AI-Powered Search Search Architecture Reference Architecture Agentic Search Maestro Workflows Auto-Tuning Search Search Analytics Search Engineers ML Engineers Elastic Developers Developer Tools Open Source Technical Demo Hands-on Tutorial
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6 ноября 2025 г. 8:30:30
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