How RAG for customer support improves accuracy at scale

What this post added

This post extends the understanding of Retrieval-Augmented Generation (RAG) by focusing on its application in customer support. It details the RAG pipeline stages in this context, explains how RAG improves accuracy and reduces hallucinations, and outlines specific use cases within customer support. It also provides criteria for companies to assess their readiness for RAG implementation and discusses factors for choosing AI systems for this domain.