Retrieval-Augmented Generation (RAG) combines the power of AI with real-time data retrieval to create smarter, more reliable web application
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Retrieval-Augmented Generation (RAG) combines the power of AI with real-time data retrieval to create smarter, more reliable web application
What Is RAG And Why Is It Important In Smart AI Tools ? | Dr. Bharadwaz | Manuj Vangipurapu
Learn what RAG (Retrieval-Augmented Generation) is and why it plays a crucial role in AI tools. This video explains how RAG combines AI language models with external data sources for more accurate, context-aware, and intelligent responses. Understand its importance in improving AI performance, decision-making, and real-world applications in business, research, and technology.
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