RAG Explained Through a Real Project
How retrieval-augmented generation works, explained by building one small real project end-to-end.
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Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
- Mentor matched to this topic
- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The problem RAG solves: models don't know your data
- 2Walking through a real project's data pipeline
- 3Retrieval: finding the right chunks
- 4Augmentation: building the prompt with context
- 5Generation and citing sources
- 6Lessons learned and common failures
Who it's for
- • Developers and technical learners
- • Product people wanting to understand RAG
You'd leave with
- An end-to-end understanding of RAG
- Awareness of common failure modes
- A reference project structure
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