Search Smarter in Q.wiki

Duration:
5 min

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:

  • Find content even when the wording differs
  • Get results across different languages
  • Search more naturally, even with typos or variations

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:

  • “How do I prepare an internal audit?” — or even in English: “How do I prepare for an internal audit?”

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

  • Reach your goal faster: Find relevant content without knowing the “right” keywords.
  • Work more intuitively: Ask questions the way you would ask a person.
  • Strengthen knowledge management: Well-documented content becomes even more valuable, because it’s easier to access and apply.

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.

Service info

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testimonials

Hear from our customers!

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.

Manfred Grossmann Sycor GmbH
Manfred Grossmann
Head of Corporate IT
Sycor GmbH
Smooth ERP transition

“Q.wiki was a key success factor in rolling out our new SAP business platform.”

Go to the experience report
Thorsten Schmidt Protection One GmbH
Thorsten Schmidt
Head of QM & Data Protection
Protection One GmbH
1 million Euro cost savings per year

“With Q.wiki, we’ve left behind outdated QM documentation and established a living, interactive management system that people actually use.”

To to the experience report
Christoph Schachtner Zettl GmbH
Christoph Schachtner
Project management Q.wiki & QM
Zettl GmbH
Bringing together four business areas under one roof

“Great company presence, excellent product, competent staff — and very pleasant and insightful training sessions.”

To the experience report
Sascha Eberhard Franke GmbH
Sascha Eberhard
ceo
Franke GmbH
Digital transformation mastered

“The introduction of Q.wiki was a milestone in the digitalization of our processes.”

To the experience report
Christoph Vormstein Babor Beauty Group
Christoph Vormstein
Quality manager
Babor Beauty Group
Management system with added value

“Regulatory processes used to be a necessary evil. Today, they create real value for our workforce.”

To the experience report
Marcella Fehres CAB Caritas gGmbH
Marcella Fehres
Head of QM
CAB Caritas gGmbH
Successful certification

“With Q.wiki, we’ve made a U-turn — from a rigid data repository to an interactive orientation platform.”

To the experience report
Ready to take the next step?

Do you have any questions or want to learn more?

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