RAG enterprise knowledge assistant
Government Sector · Corporate Intelligence / Legal / Healthcare
Time to locate an approved answer, sampled across representative queries.
- Client
- Government Sector
- Industry
- Corporate Intelligence / Legal / Healthcare
- Scope
- Centralized, multilingual enterprise knowledge assistant.
Inside the project
Challenge
Information retrieval across departments was inefficient. The goal was a centralized, intelligent knowledge assistant.
Solution
We built an AI assistant that processes large-scale multilingual documents and delivers fact-grounded, instant responses — blending retrieved knowledge with GPT outputs, OCR pipelines for structured/unstructured data, and semantic vector search, securely integrated with BI, CRM, and internal systems.
Our approach
Authorized Saudi government and MODON users ask in Arabic or English and get a concise, cited answer drawn from approved policies, procedures, licensing and factory-allocation content. The assistant combines OCR over bilingual document estates, semantic + lexical retrieval over vector embeddings, document-level access control, inline citations, audit events, and escalation to a human content owner when confidence is low — securely integrated with BI, CRM, document systems and internal APIs. Every answer stays grounded in approved sources and respects each user's permissions; the dashboard is an anonymized representative interface.