This is a really useful perspective on applying RAG beyond the usual AI hype. 👏 I liked how the guide focuses on the practical side of using company data, especially data quality, retrieval accuracy, security, and keeping responses grounded in trusted information.

The emphasis on starting with a focused business use case is also important. A RAG solution can be technically impressive, but its real value comes from how well it fits into an actual workflow and solves a measurable problem.

A great practical read for teams exploring how to take RAG from an idea or prototype toward a useful business solution. 🤖🚀