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Data Bricklaying Diary
Data Bricklaying Diary
Aug 20, 2026 · Artificial Intelligence

One Dataset Fits All? Why Training, Eval, RAG & Agent Data Must Be Separate

The article explains why AI systems need four distinct data products—training sets, evaluation sets, RAG knowledge bases, and Agent contexts—each with separate purpose, structure, timeliness, isolation, and acceptance criteria, warning that reusing a single dataset creates false quality metrics and operational risks.

AI data productsAgent ContextData Governance
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One Dataset Fits All? Why Training, Eval, RAG & Agent Data Must Be Separate