AdvancedRemoteOPCO-eligible

Formation Enterprise RAG & Knowledge Management

Architect a conversational search engine over your company's internal corpus

This advanced 4-day course teaches you how to architect, deploy, and maintain an enterprise RAG system capable of ingesting complex corpora (PDFs, tables, images, code) and answering with verifiable citations. You tackle the real challenges: multi-tenant, permissions, data freshness, continuous evaluation, and cost control.

4 days (28h)
6-12 participants
11 modules
French
OPCO - Opérateurs de compétencesEligible for OPCO funding and skills development plans
3 190
EUR excl. tax / participant
OPCO-eligible
  • Remote training via video conference
  • GitHub repository with test corpus provided
  • Cloud credits (GCP) included for workshops
  • Groups of 4 to 8 participants maximum (intensive workshop format)
  • Laptop required: 16GB RAM minimum, Python 3.11+, Docker

Eligible for OPCO funding and skills development plans

RegisterRequest an OPCO quote

Course objectives

Master chunking strategies for complex documents (PDFs, tables, images)
Implement hybrid retrieval (BM25 + dense + reranking) in production
Architect a multi-tenant RAG with granular permissions
Set up rigorous evaluation (Ragas, golden datasets, A/B testing)
Optimize cost and latency (caching, embeddings, models)
Deploy an agentic RAG with self-correction

Detailed program (11 modules)

Understand vector semantics: cosine vs Euclidean similarity, dimensions, and trade-offs. Compare text-embedding-3, voyage-3, Cohere, BGE, Gemini Embedding. Workshop: benchmark 5 embedding models on a specialized French dataset.

Target audience

  • Senior back-end developers
  • Data engineers
  • ML engineers
  • Tech leads
  • Software architects
  • Experienced AI Engineers

Prerequisites

  • Confirmed Python experience (3+ years)
  • Database knowledge (SQL and vector)
  • Familiarity with at least one LLM framework (LangChain, LlamaIndex)
  • Understanding of embeddings and semantic search
  • Experience with at least one production AI project

Your instructor

Lead AI Engineer

Our AI lead has recognized expertise in artificial intelligence with several years of experience in data and AI. He designs and deploys innovative agentic solutions for leading global corporations.

Learn more

Also discover

3 days

AI Engineer

From querying models to building autonomous systems in production

Discover