Glossary

RAG.

Retrieval-augmented generation, a pattern where an AI answer is grounded in retrieved documents or records.

Why it matters

If you are building with AI, this term affects how you choose tools, set expectations, and design verification. The practical question is always: what does this make possible, what can go wrong, and how will you check the result?

Good first question

Ask: where does this show up in my workflow, and what approval or test keeps it from becoming a hidden risk?