RAG platform: AI answers from your own knowledge, with source citations.
Your knowledge is scattered across thousands of documents, web pages, and systems. Employees search endlessly or ask that one colleague, and a generic chatbot makes things up. Our RAG platform unlocks your own sources through AI: every answer backed by source citations, running on our own cluster in the Netherlands.
What the platform includes
Not a standalone chatbot, but a complete RAG pipeline: from source to substantiated answer. Every layer runs on our own infrastructure; your data never leaves the Netherlands.
Automated source processing
Crawlers ingest your websites, databases, and documents and keep them current on a per-source schedule. Changed documents are reprocessed, old versions deactivated.
Vector database and embeddings
All content is split into chunks and stored as vectors. The platform finds the right passage even when the question is phrased completely differently from the source text.
Staged retrieval and reranking
Answers are built in multiple stages: priority sources first, then supplementary context. Reranking discards irrelevant passages before the model ever sees them.
Answers with source citations
Every answer references the exact document or article it is based on. If the platform finds nothing, the answer says so honestly instead of making something up.
Chat app and integrations
A dedicated chat app in your branding, integration into your existing app or portal, or an API connection for your own software. Your users stay where they already work.
Management dashboard and quality monitoring
User feedback, response times, duplicate detection, and coverage gaps in one dashboard. You see exactly where the knowledge base is thin and which sources are never used.
From source to substantiated answer
Chat app and integrations
A RAG platform is only as good as the place where your people use it. That is why we deliver not just the pipeline but also the front end: a chat environment that feels like your own software, right where your users already are.
Dedicated chat app
A ready-to-use chat environment in your branding, immediately usable by employees, members, or customers.
Inside your existing app or portal
The chat as part of your own app, intranet, or member environment. No extra login, no separate system.
API connection
Your own software queries the platform through an API. Answers including sources come back as data, usable in any system.
MCP connection
AI assistants such as Claude query your knowledge base directly through the Model Context Protocol (MCP). Your knowledge available in the AI tools your people already use, always with source citations.
In production
One knowledge base for a national member organisation
For a national member organisation in the public domain, we unlocked hundreds of thousands of documents and legal articles in a single RAG platform. Members ask their question in the organisation's own app and receive a substantiated answer, with a reference to the exact source.
Same platform, your sources: we configure it for your knowledge, your branding, and your systems.
- 400+ sources crawled automatically and kept current, from websites to legal databases
- 820,000+ documents and 7 million+ words searchable through 860,000+ vectors
- Every answer cites the exact document or legal article
- 80% approval from end users, median response time 8.3 seconds
- Integrated into the organisation's member app, with a management dashboard for the editorial team
Quality made measurable
Every answer can be rated by the user, and every rating is visible in the dashboard, per topic and per source. Coverage gaps show where the knowledge base is thin, so the editorial team adds sources deliberately instead of guessing.
When RAG pays off, and when it does not
A RAG platform pays off when knowledge is large, scattered, or changing: thousands of documents, legislation, manuals, procedures. If you have thirty documents that never change, a good search function is enough, and we will tell you so honestly. That way you only pay for AI where it truly adds value.
Curious what is hidden in your knowledge?
The best starting point is a concrete inventory: which sources you have, how current they need to be, and who will use the answers. In our C-level knowledge session we map that out together, without a sales pitch.
View the knowledge sessionsWhy Wabber for your RAG platform
Proven in production
Not a proof of concept, but a platform running live with 820,000+ documents and daily use. The numbers on this page come from that production environment.
Everything on our own cluster in the Netherlands
128GB VRAM dedicated GPU infrastructure, on-premise with you or hosted by Wabber. No OpenAI, no US cloud, no data leaving the country.
Verifiable instead of taken on trust
Source citations with every answer and a dashboard that makes quality measurable. You do not have to believe the AI, you can check it.
Built and maintained
Whoever builds your platform also manages and improves it. One team that knows your sources and processes inside out, year after year.
Frequently asked questions
What is a RAG platform?
RAG stands for Retrieval-Augmented Generation: a language model that does not answer from memory, but first retrieves the relevant passages from your own sources and bases its answer solely on those. The result: answers from your knowledge, with a reference to the source.
Why not just ChatGPT or Copilot?
Copilot and ChatGPT can reach your SharePoint and OneDrive, but they search unstructured, non-normalised data: drafts, duplicates, and outdated versions weigh just as heavily as the current document. Our platform normalises and curates the sources first, with version control, duplicate detection, and quality monitoring, and shows for every answer where it came from. On top of that, it runs on dedicated hardware in the Netherlands, so your data never leaves the country.
How does the platform prevent made-up answers?
The model may only answer based on the retrieved passages. If it finds nothing relevant, the answer says so honestly. Every source is listed below the answer, so every statement can be verified. User feedback and automated quality checks continuously guard reliability.
Can the platform live inside our own app or website?
Yes. You get a dedicated chat app in your branding, or we integrate the chat into your existing app, portal, or website. Connecting through an API or through MCP (Model Context Protocol) is also possible, so your own software or AI assistants such as Claude query the platform directly, sources included.
How do the answers stay current?
Sources are recrawled on their own schedule. New and changed documents are processed automatically and old versions deactivated. In production we keep 400+ sources current this way without manual work.
Where does the platform run?
On-premise with you or hosted by Wabber, always in the Netherlands on dedicated hardware with 128GB VRAM. No US cloud and no data leaving the country.
What about the GDPR and a DPIA?
The platform is set up so you can complete a DPIA (Data Protection Impact Assessment) smoothly: data stays in the Netherlands, is never shared with third parties, and environments are strictly separated per client. We supply the technical documentation and work alongside your privacy officer or data protection officer. ISO 27001 certification expected Q4 2026.
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