AI that answers from your company data
Retrieval-Augmented Generation (RAG) — a system that "reads" your documents, contracts and manuals and answers like an experienced colleague. With source citations.
How does RAG work?
RAG combines the power of language models with your real data. The AI doesn't hallucinate — it answers precisely from your documents and cites its sources.
PDF, Word, Excel, web pages, e-mails, Confluence, SharePoint — RAG processes any text format.
The system splits documents into semantic chunks and builds a vector index for search by meaning, not just keywords.
Users ask in natural language. RAG finds the relevant passages and produces an accurate answer with source citations.
Where you'll use RAG
Employees ask the AI instead of digging through dozens of folders and documents. Answers in seconds instead of minutes of searching.
"What are the termination terms in the contract with supplier X?" — RAG finds the exact clause and points to the paragraph.
Fast answers on GDPR, ISO standards, internal policies. Always current, always with a link to the source.
Developers, engineers and support teams ask the system instead of searching the wiki. RAG understands technical language and context.
New employees learn faster — they ask the AI anything from company materials and get clear answers.
RAG combined with an AI agent — the agent answers customers exactly according to your documentation, pricing and terms.
What you get
The technical solution
- A RAG system trained on your documents
- A web interface or API for queries
- Source citations with every answer
- Access control (who sees which documents)
- Automatic re-indexing when documents change
The results
- Answers in 2–5 seconds instead of minutes of searching
- Answer accuracy above 90% (measurable)
- 5–15 hours a week saved on information hunting
- Consistent answers across the whole team
Sound interesting?
Describe your problem — I'll design a solution and calculate the ROI. The 30-minute call is free and non-binding.
A concrete example: how RAG success is measured
A typical law office or tech team spends 5–10 hours a week searching documents. Here's what changes:
How much does it cost?
The price depends on document volume and required integrations. I'll prepare an exact quote after the intro call. View full pricing →
Frequently asked questions
Yes. Your data can stay on your server or in a private cloud — it isn't shared with third parties. You control access rights — every user only sees what they're allowed to. If you need a GDPR audit, we sign a DPA (Data Processing Agreement).
PDF, Word, Excel, PowerPoint, HTML, Markdown, e-mails, CSV, TXT and more. We also connect to Confluence, SharePoint, Google Drive, Notion, OneDrive — wherever your data lives, it gets read.
The RAG system automatically detects changes and re-indexes updated documents — no manual work. Answers are always current and always cite the latest version.
A simple RAG with no integrations (just PDF uploads) — 1–2 weeks. Advanced RAG connected to SharePoint/Confluence — 3–6 weeks. It depends on the number and quality of sources. We always start with a pilot on a smaller document set.
A hallucination is when AI makes up an answer that isn't in the documents. RAG minimises hallucinations — the AI answers only from your documents and always cites the source. If the information isn't in the data, the AI says "I don't know" instead of inventing.
A basic knowledge base (up to 200 documents) starts at €399 one-off. A company knowledge system with unlimited documents, role-based access control and automatic updates starts at €999. I'll refine the price once we know how much data and how complex an access structure you need.
An internal knowledge system for employees usually doesn't fall under the stricter rules — it's not a high-risk system. If the RAG powers a customer-facing chatbot, the standard obligation to disclose it's AI applies (from 2 August 2026). Details in the AI Act article.
RAG is more than a chatbot on top of documents
If you're considering a knowledge system, it helps to first understand the difference between a regular AI agent, a chatbot, and a RAG solution connected to company data.
Read the related articleYour documents hold the answers — let AI find them
Tell me what documents and data you have. I'll design a RAG solution for your exact situation. The call is free and non-binding.