Abstract: Aiming at the problem of data resource islands caused by confidentiality hierarchical and block management in military research institute,and the difficulty of intelligent retrieval and knowledge reuse of data resources,a governance solution for multi-source heterogeneous enterprise data resources and data assets is proposed.The graph node association mapping between data resources is realized through the attribute graph model of enterprise data space,and a data resource knowledge graph integrating the BOM tree structure is constructed,covering the hierarchical relationship,attribute information and association relationship of R&D process,production and manufacturing,and quality inspection data.This paper proposes a novel RAG framework－HireRAG,and establishes a community-based hierarchical index of knowledge graph based on C-HNSW.The low-level retains fine-grained knowledge units,and the high-level community provides a global summary to handle retrieval at different levels.A graph-enhanced clustering algorithm is proposed to enable C-HNSW to better capture the semantic information in the know-ledge graph.Experiments demonstrate that HireRAG is more adapt at processing bill of materials(BOM) related data within enterprise data spaces compared to several existing advanced retrieval-augmented generation(RAG) frameworks.Furthermore,it achieves superior performance metrics in both retrieval recall and accuracy.The data asset management system ensures that the data assets are entered into the table in compliance with the whole process.

Key words: Enterprise dataspace, Data resources, Knowledge graph, Data query, Hierarchical Navigable Small World Graphs