MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

This paper presents MindSearch, a novel approach to web information seeking and integration that mimics human cognitive processes. The system uses a multi-agent framework consisting of a WebPlanner and WebSearcher. The WebPlanner models multi-step information seeking as a dynamic graph construction process, decomposing complex queries into sub-questions. The WebSearcher performs hierarchical information retrieval for each sub-question. MindSearch demonstrates significant improvements in response quality and depth compared to existing AI search solutions, processing information from over 300 web pages in just 3 minutes.

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