Retrieval-Augmented Generation (RAG) has rapidly become one of the most popular Gen AI systems over the past year. Initially, RAG (Retrieval-Augmented Generation) gained traction for its ability to index and retrieve unstructured data, enabling capabilities such as summarization and Q&A over textual documents. This laid the groundwork for