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Episode 19 - RAG Explained Simply — How AI Actually Uses Real Data
AI models are powerful—but they don’t actually know your data.
In this episode of AI Made Simple, we break down Retrieval-Augmented Generation (RAG), one of the most important techniques used to make AI systems more accurate, up-to-date, and useful in real-world applications.
You’ll learn how AI combines search with generation, why companies use RAG instead of retraining models, and how this approach helps reduce hallucinations while enabling AI to work with real, dynamic data.
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By Saral GuptaAI models are powerful—but they don’t actually know your data.
In this episode of AI Made Simple, we break down Retrieval-Augmented Generation (RAG), one of the most important techniques used to make AI systems more accurate, up-to-date, and useful in real-world applications.
You’ll learn how AI combines search with generation, why companies use RAG instead of retraining models, and how this approach helps reduce hallucinations while enabling AI to work with real, dynamic data.