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Module M5
Intermediate • ~50min

Module 5 — Anchor AI in Reliable Sources (RAG)

"Design an assistant anchored in your documents using Retrieval-Augmented Generation and guarantee verifiable responses."

⚠Reduce hallucinations by ensuring each response can be linked to a controlled documentary source.

ObjectivesRead-only

01Explain the principles of Retrieval-Augmented Generation
02Structure a documentary context adapted to prompts
03Implement a local mini-RAG with citations

Contents

Section 01
Principle of contextual anchoring.
Section 02
Split and vectorize a reference corpus.
Section 03
Optimize query formulation to avoid context loss.
Section 04
Create a local business assistant citing its sources.

Skills

Build an indexed knowledge base for an AI assistant.Evaluate the relevance of a cited response.Anchor generation on verifiable sources.

Frequently Asked Questions

What is the "Module 5 — Anchor AI in Reliable Sources (RAG)" module?+

"Module 5 — Anchor AI in Reliable Sources (RAG)" is a Intermediate • ~50min-level online training module. Set up a complete mini-RAG, index your documents and deliver sourced and auditable responses.

Are there any prerequisites for this module?+

Yes, we recommend completing Module 4 before starting this module.

Is this module free?+

This module is part of our premium offering. You can browse the marketing content for free, then unlock full access via our pricing page.

What will I learn in this module?+

Build an indexed knowledge base for an AI assistant.. Evaluate the relevance of a cited response.. Anchor generation on verifiable sources..