RAG is the workhorse of enterprise AI: grounding model answers in your documents, policies, and data instead of hoping the model knows. Done well, it is accurate and cheap. Done badly, it hallucinates with confidence and burns your budget on the wrong model.
Frederic Haddad designs and builds LLM applications for companies across Dubai and the UAE — retrieval pipelines backed by vector databases, evaluation harnesses, guardrails, and the build-vs-buy judgment on model selection and fine-tuning that generic agencies skip.
What you get
- [01]RAG pipelines backed by vector databases, evaluated for retrieval quality — not just vibes
- [02]Evaluation harnesses and guardrails for reliable behavior in production
- [03]Model selection strategy: when to build, buy, or blend across OpenAI, Anthropic, and open models
- [04]Fine-tuning where it genuinely helps — and a straight answer when prompting is the better tool
- [05]Cost and performance optimization across providers, including cloud-versus-local trade-offs
How it works: the Build Day
An on-site day in Dubai: assess your data and use case, design the retrieval architecture, and start shipping the application with your team.
FAQ
Do we need fine-tuning or RAG?
Usually RAG. Fine-tuning teaches style and format; RAG supplies facts. If your goal is answering questions over your own documents, a well-evaluated RAG pipeline is almost always the right first move — and a fine-tune is rarely needed at all.
Can you work with our company's confidential data?
Yes — and the UAE context matters here. The design conversation includes data residency, what leaves your infrastructure, and whether local or self-hosted models are the right call for your compliance posture.
How long does a RAG implementation take?
A first working pipeline on a real dataset typically emerges from the initial on-site day in Dubai, with production hardening (evaluation, guardrails, cost tuning) over the following days — scoped explicitly, not open-ended.
How much does it cost?
AED 10,000 per on-site day (8 hours) or AED 2,000 per hour on Google Meet. Published pricing, booked online.