MindSearch: Mimicking Human Minds Elicits Deep AI Searcher

Zehui Chen , Kuikun Liu , Qiuchen Wang , Jiangning Liu , Wenwei Zhang , Kai Chen , Feng Zhao

🏛 Institutions: University of Science and Technology of China , Shanghai AI Laboratory
📅 Date: July 29, 2024
📑 Publisher: ICLR 2025 (Poster)
💻 Env
🔑 Keywords: framework information seeking planning AI search MindSearch

TLDR

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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