Have you ever searched for something, only to come up empty because you didn’t use the exact keyword? Or struggled because you weren’t even sure what to type in the first place? That’s where the new AI-powered Q.wiki search comes in. It helps you find content faster, more flexibly, and in a way that feels as natural as asking a colleague.
From keywords to context
Until now, Q.wiki search — like most systems — worked by matching keywords. This approach is fine if you know the precise wording of a topic. But the moment you use synonyms, alternative terms, or even another language, traditional search quickly reaches its limits.
Our new search goes far beyond this. Powered by vector search and artificial intelligence, it doesn’t just compare words — it understands context. That means you can:
What’s next?
Soon, you’ll even be able to ask the AI direct questions and receive concrete answers from your Q.wiki knowledge base.
An example in practice
Let’s say you want to know how to prepare for an internal audit. Previously, you might have searched “prepare an audit.” Now, you can simply ask:
Instead of only returning pages with those exact phrases, the intelligent search analyzes the core of your question and finds related content — even if it’s written with different terms like audit planning or audit checklist.
What this means for you
Q.wiki search is getting smarter — and you benefit
This is more than just a technical upgrade. AI search is a key step toward an interactive management system that truly supports you in daily work — by surfacing exactly the information you need, when you need it.
Maintaining order in the company wiki — how does that work?
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In the following testimonials, you will learn about how we empower organizations to build effective, sustainable management systems. Get inspired — and find out how Modell Aachen can help your company succeed too.