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Agentic Search Tuning - Faster and Better

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Overview

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Learn how to revolutionize search engine optimization through automated agentic systems in this 44-minute conference talk from Haystack EU 2025. Discover how LLM-based agents combined with interleaved A/B testing can transform the traditionally slow and manual search tuning process into a faster, more accurate automated workflow. Explore the challenges of achieving good search results and understand how the virtuous cycle of search algorithms, measurement, analysis, and tuning can be enhanced through intelligent automation. Examine how specialized agents can be created for specific business problems, incorporating various search strategies while not only creating and evaluating tests but also orchestrating their deployment. Gain insights into building agentic infrastructure that leverages existing tools like OpenSearch UBI, OpenSource Connections Quepid, and OpenSearch Search Relevance Workbench to create a more efficient search optimization process that reduces manual intervention while improving results quality.

Syllabus

Haystack EU 2025: Stavros Macrakis & Daniel Wrigley – Agentic search tuning: faster and better

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