What you will take away from the session
- Understand the fundamental principles of RAG (Retrieval-Augmented Generation) architecture and document database ingestion.
- Learn to design complex AI agents equipped with tools and memory using LangGraph or n8n.
- Analyze and debug frequent production issues (hallucinations, latency, API costs).
What you leave with
- Code repository (GitHub boilerplate) including a functional RAG pipeline and a LangGraph agent skeleton.
- Access to pre-configured agent automation n8n scenarios.
- Security and performance evaluation guide for LLMs.
Practical information
- Audience
- Developers / technicians / data profiles
- Registration
- Not specified
- City
- Rabat
- Language
- Français / Darija
Agenda
No agenda available at the moment
Speakers
IT
Imane Tahiri
LLM Engineer
MA
Mehdi Amrani
Full-Stack Lead
