Why Vector Indices Silently Degrade in Production

Vector search has become critical infrastructure for modern AI systems, yet most teams operate vector databases with incomplete operational understanding. The gap between deployment practices and actual failure modes—particularly recall degradation under shifting data distributions—creates preventable but often undetected failures at scale. Understanding how ANN indices respond to continuous updates is essential to maintaining production health.