What Is Retrieval-Augmented Generation (RAG)?
RAG lets a model look up documents before answering.
The idea
Search first, then generate an answer using what was found.
Why it helps
Answers use current company information and can cite sources.
- Fewer made-up facts.
- Up-to-date info.
- Traceable sources.
Limits
Bad search gives bad answers, and documents must be clean.
Good practice
Keep it reliable.
- Keep documents updated.
- Show sources.
- Test with real questions.
Key takeaway: RAG grounds answers in your documents, but answer quality depends on search and content quality.
