enterprise rag failure modes cluster in stale corpora

Postmortems from enterprise RAG deployments increasingly point to corpus freshness and governance gaps as primary failure causes, ahead of raw model limitations (arXiv).

see also: retrieval quality audits reduce hallucination incidents · vector database consolidation follows budget pressure

evidence stack

• Stale policy documents repeatedly drove incorrect high-confidence outputs.
• Weak document ownership caused unresolved indexing drift.
• Teams with freshness SLAs reduced incident frequency significantly.

decision boundary

If corpus stewardship is unclear, model upgrades won’t solve reliability. If stewardship is strong, even mid-tier models can perform consistently.

my take

RAG quality is mostly a knowledge operations problem. The model is the visible part, not the dominant risk.

linkage

• [[retrieval quality audits reduce hallucination incidents]]
• [[vector database consolidation follows budget pressure]]
• [[open source model audits become procurement baseline]]

ending questions

which corpus freshness metric should trigger automatic rollout pauses in enterprise rag systems?