So… what is RAG?

In this project, I dove into the world of Retrieval-Augmented Generation (RAG) — and trust me, it’s a game-changer. I explained how RAG combines the power of information retrieval with the smooth flow of natural language generation, making it one of the most exciting advancements in AI. I also showed why RAG is so important: it addresses the limitations of traditional models by pulling in relevant data from external sources to ensure the output is not just contextually aware but also super accurate. Think of it as taking AI to the next level by giving it access to a massive pool of knowledge on demand. If you want to learn more about RAG and see what my presentation was all about, check it out below!