Hype of Generative AI Generative AI is not just a fleeting trend; it's a transformative force that's been captivating global interest. Comparable in significance to the dawn of the internet, its influence extends across various domains, altering the way we search, communicate, and leverage data. From enhancing business processes to serving as an academic guide or a tool for crafting articulate emails, its applications are vast. Developers have even begun to favor it over traditional resources for coding assistance. The term Retrieval Augmented Generation (RAG), introduced by Meta in 2020 ( 1 ), is now familiar in the corporate world. However, the deployment of such technologies at an enterprise level often encounters hurdles like task-specificity, accuracy, and the need for robust controls. Why enterprises struggle with Industrializing Generative AI Despite the enthusiasm, enterprises are grappling with the practicalities of adopting Generative AI. According to survey by MLI
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