Native RAG vs. Agentic RAG: Which Approach Advances Enterprise AI Decision-Making?
Retrieval-Augmented Era (RAG) has emerged as a cornerstone method for enhancing Massive Language Fashions (LLMs) with real-time, domain-specific data. However the panorama is quickly shifting—at this time, the commonest implementations are “Native RAG” pipelines, and a brand new paradigm referred to as “Agentic RAG” is redefining what’s potential in AI-powered info synthesis and determination help….