In our latest accelerator, one surprising insight was that many developers don't realize that the real challenge with RAG isn't building the system itself, but ensuring the retrieved data is contextually relevant and accurate. A practical framework we use involves implementing feedback loops that allow the AI to learn from user corrections over time. This transforms RAG systems from static tools into dynamic, evolving assistants that improve with each interaction. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)