LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval

Yaoze Zhang; Rong Wu; Pinlong Cai; Xiaoman Wang; Guohang Yan; Song Mao; Ding Wang; Botian Shi

AAAI 2026technical0 citations

LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval

Yaoze Zhang, Rong Wu, Pinlong Cai, Xiaoman Wang, Guohang Yan, Song Mao, Ding Wang, Botian Shi

Abstract

Retrieval-Augmented Generation (RAG) plays a crucial role in grounding Large Language Models by leveraging external knowledge, whereas the effectiveness is often compromised by the retrieval of contextually flawed or incomplete information. To address this, knowledge graph-based RAG methods have evolved towards hierarchical structures, organizing knowledge into multi-level summaries. However, these approaches still suffer from two critical, unaddressed challenges: high-level conceptual summaries exist as disconnected ``semantic islands

BibTeX

@inproceedings{aaai2026_leanragknowledge,
  title = {LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval},
  author = {Yaoze Zhang and Rong Wu and Pinlong Cai and Xiaoman Wang and Guohang Yan and Song Mao and Ding Wang and Botian Shi},
  booktitle = {AAAI 2026},
  year = {2026}
}