So during my 4th Year of my college my team had decided to build a Personalized AI Assistant that can understand the user's behavior and give results accordingly.
We had implemented reinforcement learning in the backend server, so based on the feedback given by the user it gives the output.
During the later stages of the project I glimpsed on something called RAG (Retrieval Augmented Generation).
Because the problem statement and research were already done on reinforcement learning my teammates were not interested in RAG.
What is RAG?







