Your team asks for documents in everyday language and finds answers with source instead of folder to search.
Free intro callYour team asks for manuals, FAQs or quotation modules in everyday language and sees the source — instead of digging through PDFs and network drives while customers wait.
In many companies, knowledge is scattered: manuals, offers, price lists, chat notes, old emails and folders on the server. When someone is sick or a new colleague starts, the search starts all over again.
We use this to build an internal search with an answer function. The technology behind it is called Retrieval Augmented Generation, rag for short: first, suitable positions are found in your own documents, then the AI formulates an answer with a reference to the source.
The solution runs as it suits your data: we host it for you, it runs on your own hardware in the company or in a German cloud. You decide who can see which documents.
First we clarify the bottleneck, then we build this solution and connect it to the tools your team already uses.
Hier
Build rag
Your documents will become searchable and citable.
Typical situations from consulting, engineering, and technical teams. Not client case studies.
Beispiel 01
Ausgangslage
Installers call from the customer appointment because connection details, manufacturer instructions and old offers are in several folders.
Ergebnis
Internal knowledge search for technical documents and offer modules, with source link for queries to the customer.
Beispiel 02
Ausgangslage
Team and partners look for legacy projects, specifications and internal guidance.
Ergebnis
Rag via project files, templates and internal notes, usable in the browser and via the wizard.
No, if there is enough recurring knowledge. A good start is a clear area such as manuals, FAQs, price lists or quotation templates.
We narrow down sources, user groups and initial questions in advance. This results in a fixed scope of services; extensions are decided separately.
We host the solution, it runs on our own hardware in the company or in a German cloud. We will clarify the appropriate variant according to the effort involved and where your data should be located.
To get started, someone who provides documents and access is often enough. Maintenance, updates and new sources can be taken over as ongoing support.
No. rag complements existing systems and makes knowledge easier to find. ERP, DMS or CRM remain leaders.
Foto: Landiva Weber · Pexels
Foto: Landiva Weber · Pexels
Foto: IMRAN SHEIKH · Pexels
“In 30 minutes we clarify which asset — knowledge, relationships, specifications — justifies a system, and what the smallest useful slice is.”
Julius Haring, founder of aixRun
No obligation and free. One contact from idea to running system.
