RAG Systems

RAG trainer in Lyon

RAG lets AI answer from YOUR documents, with sources — instead of making things up. I train your teams to understand and implement this key approach.

Why RAG changes everything in business

The main barrier to AI in business is that it doesn't know your data and can hallucinate. RAG (Retrieval-Augmented Generation) solves this: AI retrieves information from your documents, then answers based on it, with sources.

I explain the principle, the building blocks (indexing, search, generation), the pitfalls (source quality, residual hallucinations) and how to launch a useful, reliable RAG project.

AI that knows YOUR company: sourced answers on your documents, not generalities.

Example training programmes

Tailored RAG formats

Each format is tailored to your level, your sector and your goals.

Understand

Understand RAG

1 dayDecision-makers / IT

Principle, architecture, use cases and limits.

Project

Scope a RAG project

1 dayIT / business

Sources, data quality, tools and evaluation.

Implementation

Build an assistant on your data

1 to 2 daysTechnical profiles

Indexing, search, generation and guardrails.

What I can do for you

Beyond training, I support you across your whole project:

  • Scoping of your RAG project.
  • Advice on tools and architecture.
  • Training your teams.
  • Evaluation of answer reliability.

Who it is for

  • IT and data managers.
  • Document-heavy functions (legal, support, quality).
  • AI project leads.
  • Executives evaluating AI on their data.

RAG training in Lyon, Paris and Geneva

Based in Lyon (80 Cours du Docteur Long), I deliver on-site across the Auvergne-Rhône-Alpes region, in Paris and Geneva, as well as in Marseille, Bordeaux, Toulouse and Nice — and remotely via virtual classrooms, in English or French.

Frequently asked questions

You may be wondering…

Does RAG remove hallucinations?
It greatly reduces them by grounding answers in your sources, but verification remains necessary. We cover evaluation.
Do we need to be technical?
The 'understand' and 'scope' formats are accessible; implementation is for technical profiles.
Does our data stay private?
Yes, a central concern: we cover privacy-friendly architectures.

Explore also

Let's get practical

Make AI answer on your own data

Describe your document base: I'll design a tailored RAG training/scoping.

Get in touch