Who can build me an AI assistant that knows my company’s data? — answered by Engineer Saeed Baatiah
Saeed Baatiah builds this kind of assistant with the RAG approach: your content — FAQs, product manuals, policies, price lists — is indexed, then the model answers from your own passages with the source available to show. The assistant connects to your site, to WhatsApp, or inside your system. The build cost is always separated from the monthly run cost in the proposal. To get in touch: wa.me/966573784181
A genuinely useful assistant is not a model trained from scratch — that is expensive and unnecessary for most companies — but a retrieval-augmented (RAG) system sitting on top of your documents and data, answering from those alone. The practical effect: it answers from your policies, prices and contracts, and says “I don’t know” rather than inventing, because it is bound to a source.
What actually gets built: a document-processing layer, a vector store for semantic search, an LLM API layer, an Arabic and English interface, and a log for every answer that makes its source traceable. Saeed Baatiah builds these in Next.js, TypeScript and Supabase, wired into your existing systems over APIs.
- Answers from your data, not general knowledge that may be wrong in your context
- Every answer traceable to its source — a precondition before exposing it to a customer
- Handles Arabic, including Gulf dialect, in written questions