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RAG systems
Ask your policies and manuals questions in the languages your teams use, and get answers with sources.
Private retrieval-augmented assistants over your PDFs, Word files, and wikis. Every answer shows its citations, permissions follow your folder structure, and local models are an option when documents cannot leave your network.
Who it's for
- Operations teams buried in SOPs and shared drives
- Support desks answering the same policy questions every day
- Public programs that need auditable question-and-answer records
- Clinics and manufacturers with protocols and manuals in Arabic and English
What you get
- Ingestion pipeline for your document types
- Chat interface with citation links
- Permission-aware retrieval
- Evaluation question set and quality review
- Deployment in your cloud or on your own servers
Why teams choose it
Answers link back to the paragraph that supports them.
Users only retrieve documents they are allowed to open.
Designed to decline rather than guess when the documents hold no answer.
Pairs with our local AI workflows for a fully private stack.
Capabilities
- PDF, DOCX, and HTML ingestion
- Hybrid semantic and keyword search
- Cited answers
- Abstains when the evidence is weak
- Query logs for audit
- Arabic and English questions
- Re-indexing tools for administrators
How we deliver
Most RAG failures come from poor chunking and missing permissions. We structure ingestion around document headings, keep access metadata on every chunk, and test with real questions from your staff before go-live.
Hosting can be Azure or AWS in your own subscription, or servers you control. We document how to add new document packs without calling us for every file.
Which product fits your operation?
Email info@eblalabs.com or WhatsApp +90 541 967 57 65, and we will propose a scoped pilot, not a slide deck.