Bespoke RAG trained on any information
I build interactive retrieval-augmented systems on top of your own knowledge — whatever you have, in whatever form. They answer questions and give live presentations in plain language, with every reply grounded in the material you trained them on.
How a RAG system works
A specialist on your information
Retrieval-augmented generation pairs a reasoning model with your own knowledge base, so the system speaks for your material — accurately, and always up to date.
Train on any information
Feed it your documents, pages, manuals, and records in whatever shape they arrive. The system learns your material and becomes a specialist on it — no rigid templates required.
Grounded, accurate answers
Every response is retrieved from your own knowledge before it is written, so answers stay anchored to what you actually told it — not invented and not generic.
Gives presentations
Beyond question-and-answer, it can walk a visitor through a topic end to end — structuring the material and presenting it conversationally, the way a briefed expert would.
Stays current as your knowledge changes
Add, revise, or remove information and the system retrains on it. Its answers move with your business so visitors always hear the latest, never a stale snapshot.
You're already talking to one
Pyro, the flaming-skull guide floating over the page, is a bespoke RAG trained on this very site. Every answer it gives is retrieved from these pages — a working demonstration of what I build. Ignite it to try it live.
Ignite to tryA RAG system on your own knowledge
Pyro is a live one, running on this site's own pages. If a system that knows your material would help, tell me what it should know and what you'd want it to do — answer questions, present, or both.