RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem

# RAG Isn't About Traditional Machine Learning—Here's Why That Matters If your company is using AI to search through documents and find answers, you're probably using something called RAG, and it doesn't work the way traditional machine learning does. The tools companies typically use to improve machine learning systems—like tweaking settings or testing different versions—don't actually help RAG perform better, which means businesses have been applying the wrong fixes to the wrong problems. Instead, RAG performance comes down to how well you organize and prepare your documents, not from the kind of statistical training that makes other AI systems work.
Enterprise Document Intelligence [Vol.1 #3] - Why the ML toolkit (hyperparameter sweeps, train/test splits, explainability frameworks) solves the wrong problem, and what to use instead The post RAG Is Not Machine Learning, and the ML Toolkit Solves the Wrong Problem appeared first on Towards Data Sc
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