The fastest way to lose trust in an AI support assistant is to watch it confidently invent an answer. That is the problem retrieval-augmented generation (RAG) is built to solve. Instead of relying on whatever a language model memorized during training, a RAG system first retrieves the relevant passages from your own knowledge base, your help docs, policies, and product specs, then generates a reply grounded in that verified content. The result is an assistant that answers from your truth, ...