Large models have evolved enterprise knowledge bases from "searching documents" to "getting answers through conversation."
Large models have evolved enterprise knowledge bases from "searching documents" to "getting answers through conversation." This article draws on our practical experience serving more than 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.
The most common failure is feeding hundreds of outdated documents in all at once—garbage in, garbage out.
There is no standard answer to digital transformation, but there is one iron rule: first get one scenario running and produce results, then talk about rolling it out comprehensively.