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This article addresses a core challenge in Retrieval-Augmented Generation (RAG) systems by proposing specific architectural improvements to context retrieval rather than relying solely on prompt tuning. By analyzing failures with high-stakes documents from NIST and the World Bank, it offers technical insights into reducing hallucinations through enhanced data structuring methods known as "context engineering."

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Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations

Towards Data ScienceJuly 21, 20261 min read

Enterprise Document Intelligence [Vol.1 #9bis] - Your RAG isn’t hallucinating, it’s answering the wrong context faithfully. On real NIST and World Bank documents, watch each of the four bricks break, and the contract that closes it The post Prompt Engineering Isn’t Enough: How Four Bricks of Context Engineering Stop RAG Hallucinations appeared first on Towards Data Science.

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