This article discusses the implementation of Retrieval-Augmented Generation (RAG) in enterprise search systems. It compares traditional search methods with RAG's ability to provide context-aware, conversational responses using large language models. Key topics include security, compliance, and best practices for integrating RAG into existing infrastructures.