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🏗️ Enterprise AI: RAG, Agentic Workflows, and Implementation Strategies

Paul Barlow

In this week's DataPro.News, we explore the rapid advancement of Retrieval-Augmented Generation (RAG) and agentic AI architectures within enterprise settings during 2025, highlighting their shift from experimental concepts to crucial business tools. It details how modern RAG is moving beyond text-only to multimodal capabilities, integrating diverse data types and incorporating real-time, dynamic information sources. The article also examines the rise of autonomous agentic systems that proactively perform tasks and discusses the complexity of orchestrating multiple agents working together, with a focus on implementation strategies including cloud-native RAG as a Service and hybrid architectures, all underpinned by a governance-first approach.