Silent Vector Failures: How Embedding Drift Silently Costs Thousands

When embedding models are updated without re-indexing existing vectors, RAG systems can silently deliver incorrect results for weeks—appearing structurally correct while causing real financial damage. This case study of a $40K loss highlights how ghost bugs bypass traditional error detection and why vector monitoring has become essential for production AI systems.