A chatbot that knows your docs.
Retrieval-augmented generation combines Claude with your own documents: the chatbot answers based on your manuals and tickets — with source citations, instead of hallucinating. Typical projects from 8.000 €.
Answers with a source, no guessing.
A freely answering chatbot invents when in doubt. RAG flips that: first your relevant documents are retrieved, then the model answers based on them — traceable and cited.
- RAG on your manuals, tickets, knowledge bases
- Answers with source citations, not hallucination
- GDPR-compliant with Claude, EU hosting possible
- Your data is not used for model training
- Use: support, internal knowledge, onboarding
RAG vs. a freely answering bot.
A chatbot that hallucinates does more harm than good — RAG answers from your facts.
Typical projects.
Common questions about RAG chatbot.
01What does a RAG chatbot cost?
It depends on document volume, sources and integration. A small, measurable proof of concept on real data is the entry point — fixed price, audit-first.
02How exactly does RAG work?
For each question, the relevant passages from your documents are retrieved first and given to the model. It then answers on that basis — with citations and far fewer hallucinations.
03Is our data used for training?
No. Over the commercial API tiers your content is not used for training; it's only processed for the specific request.
04Where is the data hosted?
In the EU on request. We choose EU data residency or European/local models depending on the requirement — you keep control over where data flows.
What might still hold you back.
01Does the chatbot make up answers?
It answers based on your documents and cites the source for every statement — if it finds nothing, it says so instead of guessing. That's exactly what separates RAG from a freely improvising model.
02Do our documents end up in AI training?
No. Your content stays yours — it's used to answer, not to train the model. Hosted in the EU, data processing agreement included.
03What if our docs change — does the bot go stale?
The knowledge base is updated without rebuilding the bot — new or changed documents flow into the index. You keep the content current, not the code.
04You're a single founder — what if you're unavailable?
We build to the standard, documented and with the repository in your hands — the chatbot runs on transparent architecture any competent developer can take over. No dependency on one person.