The development of Agentic Retrieval-Augmented Generation (RAG) is among the most revolutionary developments of recent times, offering a substantial improvement over current RAG systems. Agentic RAG expands on the capabilities of traditional RAG by adding autonomous agents that contribute a new degree of intelligence and decision-making. It has applications in customer service, conversational AI, content creation, education, healthcare, legal compliance, and more.
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Retrieval-Augmented Generation (RAG)Principal Benefits of RAGAgentic RAGCharacteristics of Agentic RAGAgentic RAG ArchitectureApplications of Agentic RAGChallengesConclusionSort: