AI & Automation
RAG assistants
An assistant that answers from your documents, with the source attached.
7
projects shipped across Qatar and the GCC
Design, search visibility and pipeline — built together, in English and Arabic.
Definition
What retrieval-augmented generation means
Instead of relying on what a language model absorbed during training, a RAG assistant searches your own documents first and answers from what it finds — citing the source. Your policies, specifications, price lists and manuals become something staff or customers can simply ask.
Why it matters
Why grounding is the whole point
An ungrounded model will produce a confident, plausible answer whether or not it knows — which is unusable for anything that matters. Retrieval ties every answer to a document you control, so responses stay current when you update the source and a person can check the citation.
What RAG assistants includes with us
Document ingestion from your existing files and systems
Retrieval tuned to your content, with citations in every answer
Access control so internal material stays internal
Bilingual question handling
Refresh process so answers track your updates
Common questions
Where does our data go?
We'll agree that explicitly before building — including which provider processes it and what's retained.
How current are the answers?
As current as the documents. Update the source and the answers follow.
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