RAG chatbots trained on your business data
An AI assistant that answers from your own catalog, documents and policies — so customers and staff get accurate answers, not generic ones.
What this fixes
Generic chatbots do not know your products, your prices or your rules, so they either give vague answers or make things up.
Meanwhile your team answers the same product and policy questions again and again.
What we build
- Retrieval-augmented generation (RAG) over your catalog, documents, syllabus or support docs
- Answers that cite where they came from, and say so when the answer is not in your content
- Deployed on your website, on WhatsApp, or as an internal tool for staff
- Simple way to add or update the documents it learns from
- Built on Claude or other leading models, with your data kept in your own database
One-time build. Model usage is billed by the AI provider at cost.
Every project starts with a free discovery call. You get a fixed quote before any work begins.
Common questions
What is a RAG chatbot?
RAG (retrieval-augmented generation) means the AI first searches your own content for the relevant pages, then writes its answer from them — instead of relying on general internet knowledge.
Will it make things up?
No system is perfect, but RAG keeps answers tied to your content. We set it to say when it does not know, and test it against real questions before launch.
What data can it use?
PDFs, product catalogs, spreadsheets, website pages, help docs, syllabus notes — most text-based content.
Is my data safe?
Your documents are stored in a database in your own account, and we only send the relevant excerpts to the AI model when answering.
Can it work on WhatsApp?
Yes. The same assistant can answer on your website and on WhatsApp.
Related work
Other services: AI Voice Agents · WhatsApp Automation · AI-Powered Websites · n8n Automation