Ask in plain language and get answers built on your own documents, with the source cited and nothing leaving your environment.
Most of what an organisation knows sits in documents nobody can find. RAG connects the model to your sources at answer time, so every answer arrives with a reference to where it came from.
Documentation, network drives, document management systems and the tools your team already uses.
Content is chunked and indexed wherever you decide, honouring the source permissions.
Every answer arrives with the passages it rests on, so you can check it.
The sectors where this one comes up most, and what it covers in each.
No. RAG trains nothing: it retrieves the relevant passages at answer time and passes them as context. Your documents never enter a training process.
Yes. Source system permissions carry into search, so nobody receives passages from documents they cannot access.
The model says so instead of filling the gap. An answer that admits its limit beats an invented one somebody takes at face value.
In the demo we go through your case: which models you need, where they run and what it takes to meet the regulation that applies to you.
We reply within one business day.
