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Learn how to evolve from traditional keyword search to AI-powered search systems in this 55-minute conference talk from Haystack US 2025. Discover the complete journey of transitioning from third-party search providers to building an in-house search solution, starting with identifier search for SKUs and part numbers, then progressing through AI-driven reranking, semantic expansion with synonym models, personalized typeahead suggestions, KNN vector-based retrieval, and Learning to Rank optimization. Explore practical implementation strategies for integrating machine learning models, managing behavioral signals for result reordering, and balancing precision versus recall in eCommerce environments. Gain insights into infrastructure complexity challenges, evaluation methods for AI-driven improvements, and key lessons learned throughout the transformation process from lexical matching to semantic search capabilities.
Syllabus
Haystack US 2025 - Jon & Jason & Meet: From Traditional Keyword Search to AI-Powered Search
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