In this episode of The Adaptability Lab, we explore the fundamentals of Retrieval-Augmented Generation (RAG) and the enduring challenge of “Retrieval ≠ Understanding.” You’ll learn how retrievers and generators interact, why context windows don’t solve reasoning, and why noise often overshadows knowledge. We break down the basics of retrievers, generators, pipelines, strengths, and weaknesses before diving into timeless truths about why RAG systems still hallucinate and what future directions could solve these issues. Whether you’re new to AI or a product manager building with RAG, this episode blends clarity with insight to help you see where adaptability meets reality.
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35 mins