RAG Systems Development
Your Documents. Answered in Plain Language. Privately.
What we do
Retrieval-Augmented Generation (RAG) connects large language models to your private document repositories — so instead of generic AI answers, you get precise responses grounded in your own policies, contracts, and procedures, with source citations on every answer. We build production RAG systems on Azure with full data sovereignty.
Ideal for
Knowledge-intensive organisations with large internal document libraries where employees waste hours searching for information
Common applications
Internal Knowledge Base Assistant
Give employees instant answers from HR manuals, IT policies, and compliance documents without calling a helpdesk.
Legal Research Assistant
Search case law, contracts, and legislation in plain language with cited source paragraphs for legal teams and law firms.
Technical Documentation Retrieval
Let engineers query technical manuals, architecture documents, and API specs conversationally rather than searching PDFs.
Customer-Facing FAQ & Support
Deploy a customer-facing assistant that answers product questions from your documentation with zero hallucination risk.
Regulatory Q&A System
Query GDPR guidelines, EU AI Act requirements, or sector-specific regulations with cited regulatory text as evidence.
Multi-Language RAG (NL/EN)
Handle questions in Dutch and English against mixed-language document corpora — critical for Dutch public sector organisations.
How we work
Document Corpus Analysis
Analyse your documents: formats, languages, volumes, and update frequency — to design the optimal chunking and indexing strategy.
Private Infrastructure
Deploy Azure OpenAI (EU region) + Azure AI Search with private endpoints. Data never leaves your Azure tenant.
RAG Pipeline Build
Implement the ingestion pipeline, vector indexing, retrieval logic, and citation formatting. Tune chunk size and retrieval parameters.
Evaluation & Handover
Evaluate answer quality against a ground truth test set, tune prompts, and deliver with full documentation.
What you receive
- Private Azure OpenAI + Azure AI Search deployment
- Document ingestion and re-indexing pipeline
- RAG API or chat interface (web or Teams integration)
- Evaluation report with answer quality metrics
- GDPR data flow documentation
- Source code ownership and prompt templates
Ready to get started?
Let's discuss your requirements. No commitment, no sales pitch — just a focused conversation about your situation.
Book a free discovery call