Retrieval-Augmented Generation (RAG) is an AI architecture that retrieves relevant passages from your own documents and data, then lets a language model answer using only that evidence — with citations. MUASRT builds secure, bilingual RAG knowledge assistants for Gulf enterprises, deployable in UAE/KSA cloud regions or on-premise.
Why it matters
Your organisation's knowledge is scattered across SharePoint, PDFs, email, policies, contracts and ERP records. Staff spend hours searching — or ask a colleague who is busy. A RAG assistant indexes that knowledge securely, respects existing access permissions, and answers questions in seconds with links to the exact source. Because answers are grounded in your documents, hallucinations are dramatically reduced and every claim can be verified.
What we build
Internal knowledge assistant
HR policies, SOPs, IT help and onboarding answered instantly for every employee, in Arabic or English.
Customer support copilot
Agents get suggested answers drawn from manuals, tickets and product data — faster and more consistent.
Contract & compliance search
Query contracts, tenders and regulations; extract clauses, obligations and renewal dates.
Technical & engineering docs
Field teams in oil & gas, construction and manufacturing search manuals and drawings from their phones.
How we deliver
- Ingestion: Connectors for SharePoint, Google Drive, Confluence, databases, websites and scanned Arabic documents (OCR).
- Hybrid retrieval: Vector + keyword search with re-ranking for high-precision results across Arabic and English.
- Permissions & security: Answers respect each user's access rights; data stays in your chosen region or on-premise.
- Evaluation: We measure answer accuracy and citation faithfulness against a test set built from your real questions.
Built for Gulf requirements
- Bilingual by default: Arabic and English understanding and responses, including Gulf-dialect chat.
- Data residency: deployment options in UAE/KSA cloud regions or on-premise.
- Compliance-aware: designed with UAE PDPL, KSA PDPL and sector regulations in mind, with audit logs and access controls.
- WhatsApp-first: native integration with WhatsApp Business API, the region's preferred business channel.
Frequently asked questions
What is RAG in AI?
RAG, or Retrieval-Augmented Generation, is a technique where an AI system first searches a trusted knowledge base for relevant information, then generates an answer grounded in that information, usually with citations to the source documents.
Is my data used to train public AI models?
No. We configure enterprise model endpoints with zero data retention where available, or use privately hosted models. Your documents remain your property and are not used to train public models.
Can RAG work with Arabic documents?
Yes. We use multilingual embeddings and Arabic-aware OCR and text processing so that users can ask in Arabic or English and retrieve documents in either language.
Can the data stay in the UAE or Saudi Arabia?
Yes. We can deploy on in-region cloud data centres or fully on-premise to support data residency requirements under UAE and KSA data-protection laws.