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Maximizing AI Potential with Retrieval-Augmented Generation (RAG)
Introduction Businesses require AI systems that not only react quickly but also provide precise, customized responses in the highly competitive landscape of today. Retrieval-Augmented Generation (RAG), a newly developed AI architecture, bridges the gap between pre-trained models and real-time business requirements. Let's explore RAG's definition, operation,