Large models have evolved enterprise knowledge bases from "searching documents" to "conversing for answers."
Large models have evolved enterprise knowledge bases from "searching documents" to "conversing for answers." This article draws on our practical experience serving over 3,000 enterprise clients.
RAG (Retrieval-Augmented Generation) is the mainstream technical approach for enterprise knowledge Q&A today: retrieve first, then generate, so answers are verifiable.
Knowledge base quality determines answer quality: document governance matters more than model selection.
Starting from two scenarios—customer service and sales enablement—the value of knowledge Q&A is the most direct and measurable.
There is no absolute right or wrong in technology selection; whatever matches your business stage is best.