Learn RAG
New to Retrieval-Augmented Generation? Start here. These guides explain the core ideas in plain English, no prior background assumed. When you hit a term you do not know, the glossaryhas a friendly definition.
Guides
What is RAG?
How Retrieval-Augmented Generation works, and why it beats asking a model to remember everything.
Embeddings explained
What embeddings are, how they turn text into meaning you can search, and how to choose an embedding model.
Chunking your data
Why you split documents into chunks before retrieval, and how to do it well.
Vector databases 101
What a vector database does, how nearest-neighbour search works, and how to pick one.
Data licensing for RAG
A practical guide to licences you will meet, and what they let you actually do.
Glossary
Every bit of jargon you will meet in RAG, explained simply. 33terms and counting.