In the world of search engines, the goal is always to provide users with the most relevant and helpful results. Traditional search engines, rely on keyword matching and other algorithms to return results. However, these methods have limitations when it comes to understanding the context and intent behind a query. This is where Retrieval Augmented Generation (RAG) comes in.