Your company's knowledge is buried in file servers, SharePoint, manuals, emails and tickets, and is impossible to find exactly when you need it. Retrieval-Augmented Generation, or RAG for short, connects a language model with your own documents. Employees ask questions in plain language and receive substantiated answers with a link to the source, instead of searching for an hour.
What you gain
Find instead of search
Questions in plain language, answers in seconds, even across thousands of documents.
Substantiated, not invented
Every answer points to its source. This reduces wrong answers and builds trust.
Rights stay intact
The assistant respects existing permissions. Confidential content stays confidential.
Our services in detail
- Connection of your sources: file servers, SharePoint, Confluence, wikis, ticket systems, email and databases
- Preparation and indexing of documents, including PDFs and scanned records
- Answers with source references, so every statement can be verified
- Respect for existing access rights: everyone sees only what they are allowed to see
- Ongoing updates, quality measurement and improvement of the answers
How it works
- 1Use case and sources
We define which questions should be answered and which sources are needed for that.
- 2Pilot
A clearly defined knowledge area is connected and tested with real questions from your team.
- 3Expansion
Further sources, departments and integrations, for example in Teams or your intranet.
- 4Operation
Automatic updates, quality control and support during live operation.
Frequently asked questions
What is RAG?
Retrieval-Augmented Generation means that before each answer, the AI searches your documents and uses the relevant passages as its basis. It therefore answers with your knowledge rather than general internet knowledge, and can cite the source.
Which data sources can be connected?
Typical sources are file servers, SharePoint, Confluence, wikis, ticket systems, email mailboxes, databases and PDFs, including scanned documents. We connect further sources via interfaces.
Can the AI give wrong answers?
The risk cannot be ruled out entirely, but RAG reduces it significantly. Every answer includes its source, so employees can verify it with one click. We also measure quality on an ongoing basis.
Which departments is a knowledge assistant suited to?
Any that look things up frequently: customer service, sales, technical service, HR, quality management and IT support. An area with clearly documented knowledge is often the best starting point.
Let us talk about RAG & AI Knowledge Assistants.
Call us or write to us. We will get back to you promptly and discuss what you really need.
Or call us directly: +49 821 66 0 99 0



