The Real Cost of Bad RAG Retrieval Isn't Tokens—It's the Human Cleanup
Street-Ad4993 · reddit · 2026-10-23
An enterprise AI practitioner argues the real cost of retrieval or ingestion failures in AI memory systems is overlooked. Typical failure modes: assistants citing outdated policies, RAG pipelines ingesting conflicting documents without recognizing the authoritative version, wrong information persisting in memory and contaminating future answers, and teams burning hours debugging well-grounded-looking wrong answers.
His hypothesis: the true cost isn't tokens or infrastructure, but the human effort to detect, investigate, correct, and recover from incorrect information treated as organizational truth. He asks the community for real incidents, rough dollar figures, time-per-incident data, and who should own the problem.
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