Loading…
Public Sector · Example pattern
Policy knowledge assistant (private RAG)
Example pattern: cited answers over internal procedures for a program office, in Arabic and English, with data residency preserved.
Example pattern, not a client case study. Outcomes describe what a well-scoped engagement aims for.
The challenge
Public-program and NGO offices often keep policies scattered across SharePoint folders, email threads, and scanned PDFs. New staff ask the same questions every month, and long-serving colleagues become the only "search engine".
Leadership needs bilingual question-and-answer with sources, retrieval that respects existing permissions, and a guarantee that documents are never pasted into consumer AI chat tools.
How we typically approach it
The private RAG pipeline we would build: ingest, chunk, embed, retrieve with permission filtering, then answer with citations. The interface works in Arabic and English, and every query is logged for oversight.
Models and indexes run in a controlled environment, either on local servers or in a private cloud, behind a .NET service with PostgreSQL for metadata and vectors. Department groups map to document collections, so each person sees only what they are already allowed to open.
Our approach
- 01
Corpus clean-up and classification
- 02
Permission model agreed with IT security
- 03
Pilot with selected teams and evaluation questions
- 04
Rollout with Arabic training sessions
Target outcomes
Policy answers in minutes instead of folder searches
Every answer linked to its source documents
Documents kept off public AI services
Easier onboarding for new staff
Audit log of questions and citations
Typical technologies
RAGLocal LLMsPostgreSQL.NET
Related products
Discuss your project with us
Share your constraints and goals, and we will outline a realistic path from pilot to production.