RAG vs Context Engineering: Insights and Limitations
Why retrieval-augmented generation is not universal
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Retrieval-Augmented Generation (RAG) has become the default architecture for grounding LLMs in enterprise knowledge. The industry conversation, however, often conflates “using RAG” with “solving the knowledge problem.” These are not the same thing, and treating them interchangeably leads to brittle systems, wasted investment, and false confidence in production.
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