CTRL+SHIFT: From keyword chaos to smart answers with AI Search & RAG
Free
Dutch
In 2026, users expect a ChatGPT-like search experience, yet most organisations still struggle with search functions that cause more frustration than they deliver answers. Employees waste time in internal systems and customers leave your site because they can't find what they're looking for.
There is a better way. With AI Search & RAG (Retrieval Augmented Generation), we can transform search from a necessary evil into a strategic advantage. In this webinar, we'll show you how organisations like WUR.nl and Worldline are already making their knowledge bases searchable with a hybrid RAG approach that's production-ready and affordable.
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AI Search in practice: from keyword search to hybrid RAG
This webinar tackles one building block of your 2026 strategy. You'll discover how to move from traditional search functionality to AI Search & RAG as an accessible, high-impact first step in your AI strategy. We'll discuss why current search functions fall short with large content volumes, explain in plain terms what RAG actually does (and what it doesn't), and cover three features that make the difference: smart content chunking, the combination of semantic and keyword search, and control over output through guardrails.
After the webinar, you'll know:
What RAG is and how it differs from traditional search and pure LLM answers
Which choices make the difference in the output of a RAG application
The best place to start within your organisation, with concrete first steps
Which pitfalls to avoid, including lessons learned from production (hallucinations, chunking strategy, fallback design)
Who is this webinar for?
This webinar is for decision makers and product owners responsible for the search and user experience on their website or platform. Do you work at an organisation with a lot of content and want people to find the right information faster? Then you'll walk away with concrete insights into how to deploy AI Search as a manageable first step in your AI strategy.

