RAG knowledge bases
An assistant that quotes your rules, not its imagination.
The problem it removes
A general-purpose chatbot will happily invent a discount, a delivery date, or a medical recommendation. One invented answer to a paying customer costs more than the whole system.
The knowledge your business runs on lives in twenty files, three heads, and one veteran employee's memory. When they are on holiday, the answers go with them.
What gets built
A structured knowledge base
Your contracts, price lists, instructions, and policies are cleaned, chunked, and indexed. The base becomes an asset you own and update.
Retrieval before generation
The assistant first finds the relevant passages, then composes the answer from them. Off-base questions get an honest refusal, not creativity.
Confidence-gated escalation
Below a confidence threshold, or on topics you flag as sensitive, the assistant hands over to a person and says exactly that.
An update loop
Unanswered and poorly answered questions surface weekly; you approve additions, and the base grows where customers actually push.
What it plugs into
- Documents: PDF, Word, spreadsheets, wikis
- Your product catalog and price list
- The chat and voice assistants Saitrix builds
- Human escalation into CRM or Telegram
What typically changes
- Answer accuracy becomes auditable: every reply traces to a source passage.
- Onboarding time for new staff drops; the base answers their questions too.
- Institutional knowledge stops living in one person's head.
Framed from industry benchmarks and typical deployments, not from named clients.
Where it lives in pricing
A knowledge base ships inside every package from Start upward; as a standalone build for an existing bot, ask for a custom quote. All packages and details
How is this different from uploading files to a chatbot?
Curation and control. We structure the data, test retrieval on your real questions, set confidence thresholds, and wire escalation. The difference shows on the hundredth awkward question, not the first easy one.
Our documents contradict each other. What then?
The build surfaces contradictions; you resolve them once, in the base. Most clients discover their price list and site disagreed for months.
Who owns the knowledge base?
You do. It is your data in a structured form, exportable, and documented. Leaving Saitrix later does not mean starting over.