
Generative AI has emerged as a cornerstone in business, adept at automating intricate tasks and mining insights. However, its integration into business cores faces challenges. A breakthrough has been the advent of Retrieval-Augmented Generation (RAG). This fusion of information retrieval with AI’s generative capabilities is set to revolutionize AI systems. RAG aims to enhance AI’s precision and contextual understanding, providing










