RAG
RAG lets AI search your own documents before answering.
Plain English
RAG means retrieval-augmented generation. Instead of answering only from general training, the system first looks through your own documents, finds relevant material, and sends that context into the model before it responds.
Why it matters here
This is how AI can answer from your handbook, SOPs, setup sheets, or quality procedures instead of making a generic guess.
Picture it like this
Use simple language and analogies before technical phrasing takes over.
Analogy
Search the library first, then answer with the right pages in view.
Like checking the latest traveler and setup packet before touching the machine instead of relying on memory.
Examples
Related links
Use these pages to move from definition into adjacent workflows or broader context.
Featured term pages
These pages keep the deeper glossary content crawlable instead of leaving everything buried inside an accordion list.