A chatbot trained on
your own data
Turn your website, PDFs, Notion, Confluence, or Word docs into an AI chatbot that answers accurately with source citations — no hallucinations.
- Website crawling by URL
- PDFs, DOCX, Notion, Confluence as knowledge sources
- Source-cited answers with quotes
- Automatic re-indexing on changes
Why RAG is the game-changer for business chatbots
ChatGPT knows a lot, but not your products, prices, T&Cs, or processes. Retrieval-Augmented Generation fixes that: your documents are vectorized, intelligently searched, and injected as context on every query. Result: answers based on your data — traceable, current, no hallucinations.
Supported knowledge sources
Website URL
Enter a URL — we crawl all subpages, respect robots.txt, and refresh regularly.
PDF & DOCX
Upload thousands of docs. OCR for scans, table extraction, multi-page context included.
Notion & Confluence
Direct integration. Your team wiki becomes a chattable knowledge base.
Automatic re-indexing
Changed pages and docs re-index automatically. No manual updates needed.
Source citations
Every answer optionally shows source (title + page + link). Builds trust and verifiability.
Multilingual
Source in German, answers in English? No problem. The model translates and adapts.
How teams use RAG in production
Customer support from help articles
Instead of tickets, 80 % of customers get the answer instantly from your knowledge base — with a source link.
Internal team wiki via chat
Onboarding, HR policies, SOPs — internal knowledge is instantly findable via chat instead of 12 Confluence tabs.
Product discovery in e-commerce
Based on product PDFs and specs, the bot helps pick, compares features, and links to checkout.
Compliance & contract Q&A
T&Cs, DPAs, policies — the bot answers concrete questions from prospects and staff based on binding documents.
Common questions
A mid-sized website or 100 PDFs index in 1–10 minutes. You can test while indexing runs.
Your knowledge, now chattable
Start with a URL or a PDF — answers from your own data in under 10 minutes.