Architecture explainers, viva prep, and project guides

How RAG (Retrieval-Augmented Generation) actually works

A plain-English breakdown of chunking, embeddings, and vector search — and why it stops AI from making things up.

20 viva questions every RAG project should be ready for

The questions examiners actually ask about retrieval-based AI projects — and how to answer them with confidence.

How to choose a final-year project you won't regret

What separates a project that impresses a panel from one that's forgotten a week after submission.

RAG vs. text-to-code vs. extract-score-generate: three patterns for AI projects

Not every AI project should be a chatbot. A look at three genuinely different architectures and when each one actually fits.