Daniel Wrigley
Daniel has worked in search since graduating in computational linguistics studies at Ludwig-Maximilians-University Munich in 2012 where he developed his weakness for search and natural language processing. His experience as a search consultant paved the way for becoming an O’Reilly author co-authoring the first German book on Apache Solr.
His current work focuses on leveraging AI agents to accelerate the next generation of search quality improvements.
In his free time he supports the local fire brigade as a volunteer firefighter and serves as the sports director of the local shooting club in the village he lives in.
Sessions
Training 1: Building Modern Search Platforms for Humans & AI
Training
14. September 2026, 09:00 - 13:00
Main Stage
Search is no longer just a product feature — it’s becoming a foundational platform that powers AI assistants, copilots, personalization engines, and internal knowledge systems. Shifting from a solid onsite search experience to a true search platform raises new questions: how should teams collaborate, what data needs to be exposed and in what form, and how do you design for both human users and AI agents at once?
Training 2: LLMs as Judges for Search Result Quality
Training
14. September 2026, 13:45 - 17:45
Main Stage
Large Language Models (LLMs) transform how we build and evaluate search systems, it’s crucial to understand how to use them effectively as “judges.” This condensed, hands-on training introduces the principles and practical techniques for implementing “LLM as a Judge” to evaluate search result quality.
Closing Notes
Organizational Session
16. September 2026, 16:45 - 17:00
Main Stage
Join us as we wrap up Haystack Europe!
Introduction & Welcome
Organizational Session
15. September 2026, 09:00 - 09:15
Main Stage
Join us as we kick off Haystack Europe!
Search (Re)platforming for Humans and AI
Talk
15. September 2026, 15:15 - 16:00
Main Stage
Balancing business rules, vector search, and AI evaluation is a shared challenge. Modern search systems must now serve both human and agentic users. In this talk we share grounded insights on search replatforming, API-driven tools, deterministic query governance, and the growing complexities of evaluation in the age of generative AI.