AI & ML — RAG

RAG

Most topics here have three levels — Introduction, Intermediate, and Advanced — so pick one and go as deep as you want. A few go straight to Intermediate for readers who already have the basics down.

RAG (Retrieval-Augmented Generation)
How giving a model real documents to read — instead of relying on memory alone — reduces hallucination.
Introduction Intermediate Advanced
Document Chunking
How big documents get split into pieces an LLM can actually work with — and why where you split matters.
Introduction Intermediate Advanced
Semantic Search vs Keyword Search
Where each one wins, where each one quietly misses — and why production systems often use both.
Introduction Intermediate Advanced
RAG Pipeline Architecture
The full pipeline, end to end — ingest, embed, retrieve, generate — connecting every piece in this series.
Introduction Intermediate Advanced
Re-ranking
Why the first retrieval pass often gets the order wrong, and how a second, smarter pass fixes it.
Introduction Intermediate Advanced