Artificial Intelligence
Document & RAG Systems
Ask questions of your own documents, and get answers with sources rather than confident invention.
The short version
Retrieval-augmented generation is the difference between a model that sounds plausible and one that can show you the paragraph it got the answer from.
We build systems where every answer cites its source, unsupported claims are flagged, and content can be versioned and approved before it becomes answerable.
What is included
Scope, plainly.
- 01
Ingestion
PDFs, spreadsheets, sites and internal documents, indexed with versions.
- 02
Cited answers
Every response linked to the source it came from.
- 03
Approval workflow
Control over which documents are authoritative and from when.
- 04
Search
Semantic search across everything your team has written.
Let’s talk about yours.
Describe it in a paragraph. You will get a straight answer on scope, timeline and whether we are the right people for it.