Alex Merced • 1/6/2025

RAG Isn’t a Modeling Problem. It’s a Data Engineering Problem.

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The article contends that Retrieval-Augmented Generation (RAG) systems fail in enterprise settings due to core data engineering problems, not modeling. It explains that messy, fragmented data, poor governance, semantic ambiguity, and latency are the real bottlenecks, urging teams to focus on building strong data foundations rather than over-engineering the retrieval layer.

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#latency #Rag #Data Engineering
RAG Isn’t a Modeling Problem. It’s a Data Engineering Problem.

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