Decades of maintenance know-how, instantly findable
Technicians ask in their own words — and get the right passage from manuals and old reports.
LLM + own knowledge base (RAG)The problem
Knowledge about machines sits in PDFs, manuals and the heads of experienced technicians. When someone retires, knowledge is lost; fault-finding costs valuable downtime.
The solution
Manuals, maintenance reports and instructions become a searchable knowledge base. The technician describes the symptom and gets the right passage with a source reference — locally, without data leakage.
How it works
- Documents and reports are turned into a knowledge base.
- The symptom description is understood semantically.
- Answer with a reference to the original source.
- Runs on-premise at the machine, even offline.
What changes
Shorter downtimes, less dependence on individual experts, faster onboarding of new technicians.
Honest take
The value comes from the link to the real documents (RAG) and the source reference — an AI that “guesses” without evidence is dangerous at the machine. Answers must be verifiable.