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Knowledge Management (RAG)

Find any answer in your documents in seconds, with a source attached every time.

Most companies have their knowledge scattered across thousands of files, wikis and tickets. RAG, retrieval augmented generation, simply means the AI looks into your own documents first and answers from them, instead of guessing. We build search and chat that does exactly that.

Every answer comes with the snippet and source it came from, so people can trust it and verify it. When a policy or document changes, the system tracks it, so the answers stay current and the experts stop fielding the same question over and over.

What it does

Enterprise search

One search box across your wikis, drives, tickets and documents, so people find the right knowledge without knowing which folder it lives in.

Document RAG

A chat that answers questions straight from your files: manuals, handbooks, product docs. Real answers from your data, not generic ones.

Law and policy RAG

Search and answers across contracts, policies and regulations, tuned for the precision that legal and compliance work demands.

Snippet citations

Every answer shows the exact passage and source document it came from, so the person asking can verify it in one click.

Change tracking

When a source document changes, the system knows. Answers reflect the latest version, so nobody acts on an outdated policy.

Stays current and maintained

We set up the knowledge base and keep it indexed, so it grows with your company instead of going stale.

In practice

A new hire asks the internal chat, what is our vacation policy? In seconds they get the answer pulled straight from the staff handbook, with a citation to the exact page, so they can confirm it themselves and never have to interrupt a colleague.

What you get

  • Find knowledge in seconds, not minutes of searching
  • Every answer sourced, so people can trust and verify it
  • Fewer repeat questions to your experts
  • Answers stay current as documents change
  • Sensitive knowledge can stay on your own servers

Questions

How is this different from a normal chatbot?
A normal chatbot guesses from general training. RAG looks into your own documents first and answers only from them, with a citation to the source, so answers are grounded and verifiable.
What happens when our documents change?
The system reindexes updated sources and tracks changes, so answers always reflect the current version. Nobody ends up acting on an outdated policy.
Can this run on sensitive data?
Yes. For confidential documents we run self hosted models and keep everything in certified German data centres, GDPR safe by design.
Get started

Turn your documents into instant answers

Book a call and we will show what RAG would surface from your own knowledge.

30 minutes · no slides, no fluff · we usually reply within one business day.