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Traditional text retrieval techniques greatly consume system resources. Although some file-sharing software realizes file positioning and high-speed downloads, they have no enough capacity to analysis variety format Chinese documents and to extract keywords. At the same time, during the operation of system, it exist hot issues in network routing. This paper proposes an intelligent distributed text retrieval system, which adopts two routing strategies based on the index sub-node and peer nodes and can effectively solve these problems, in the same also can improve the efficiency of finding specific information from the massive data.