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APPLIED AI 14 min read May 4, 2026

RAG is not a feature. It is an engineering discipline.

Most retrieval-augmented systems fail not at the model layer but at the engineering layer around it. A field-tested checklist.

AM Anjali Maharjan

Retrieval-augmented generation is usually treated as a model feature. In production, it behaves more like a distributed system.

The hard parts are document quality, chunking strategy, permissions, evaluation, freshness, observability, and user trust.

The model matters. The engineering around the model determines whether the feature survives real use.