
RAG Inventor Talks Agents, Grounded AI, and Enterprise Impact
Founded & Funded
The Evolution of Retrieval-Augmented Generation
This chapter explores the origins and development of Retrieval-Augmented Generation (RAG), delving into its multimodal applications and early limitations. The discussion highlights the significance of integrating various methodologies while addressing the challenges faced by enterprises in deploying AI technologies effectively. Emphasizing the importance of aligning AI strategies with business value, the speakers reflect on overcoming misconceptions and achieving tangible ROI from Generative AI.
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