AI chatbots that confidently make things up aren't just annoying — in HR, compliance, insurance, and proposals, they're a liability. RAG agents fix this by grounding AI answers in your actual documents, wikis, and internal data. Here's what real enterprises have achieved building these systems on n8n, the engineering decisions that separate an accurate RAG agent from a fragile one, and how Codersarts builds these for clients who need something that holds up in production.