Drift search (Dynamic Reasoning and Inference with Flexible Traversal) combines global and local search by using hypothetical document embedding (HyDE) to start at the global level, generating an initial answer plus follow-up questions, then running local searches for each follow-up to create a pseudo-refinement loop—with relevance-scored follow-ups guiding traversal—aggregating all intermediate responses via map-reduce into a final ranked answer.