QASP: Query-Adaptive Robust Vector Search Policy
QASP introduces a learning-based search policy that predicts fine-grained recall progress for any query target. It derives an optimal search strategy from these predictions, avoiding separate predictors or iterative model calls during search. This system generalizes across different datasets and index configurations, leading to significantly lower recall variance and data access compared to fixed policies.