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Agentic Retrieval-Augmented Generation (RAG) transforms enterprise AI by enabling systems to access and reason with real-time organizational knowledge. This dynamic approach bridges information and action empowering AI to handle complex workflows, reduce hallucinations, and deliver context-aware decisions across your business.

Explore the four main types of agentic systems and how they operate in real-world AI scenarios. This practical guide breaks down their unique strengths, key differences, and offers insights to help you choose the best approach for your specific needs.