A chatbot that answers from your documents, not from guessing
We build a retrieval-augmented chatbot that searches your docs, wiki and knowledge base before answering — so it cites the actual source instead of making things up. Fixed scope, fixed price.
What we build
- ✓Indexes your docs, wiki, PDFs and past tickets so answers are grounded in what you actually wrote
- ✓Cites the source document, so anyone can verify the answer instead of just trusting it
- ✓Updates automatically as your knowledge base changes — no manual retraining
- ✓Refuses to answer instead of guessing when nothing relevant is found
- ✓Deployed internally for staff or externally for customers, with different access rules
Answer 4 questions — get a plan and a quote
Usually takes under a minute. No calls unless you want one.
How we work
Audit
We review your knowledge base — docs, wiki, tickets — to see what's usable as a source.
Scope
Fixed list of sources, access rules and channels, signed off before we build.
Build
We index the material and build the retrieval pipeline against real queries.
Test
We check answer accuracy against real questions before wider rollout.
Launch
Go-live with monitoring on unanswered or low-confidence queries.
Support
Re-indexing, new sources and tuning on an SLA.
How the data flows
How the numbers move
Typical before → after across our projects.
Related solutions
FAQ
How is this different from a regular chatbot?
A regular chatbot works off a fixed script or general knowledge. This one searches your actual documents at the moment of the question and answers from what it finds — with a source.
What if the answer isn't in our documents?
It says so instead of guessing, and can hand off to a human — that's the point of retrieval over free-form generation.
How current is the knowledge?
As current as your source documents — we set up re-indexing so updates to your docs reach the chatbot without a manual retrain.