Papers › Retrieval-Augmented Generation with Hierarchical Knowledge

Retrieval-Augmented Generation with Hierarchical Knowledge

13 Mar 2025arXiv:2503.10150archive 2025-07-28

Haoyu Huang, Yongfeng Huang, Junjie Yang, Zhenyu Pan, Yongqiang Chen, Kaili Ma, Hongzhi Chen, James Cheng

Graph-based Retrieval-Augmented Generation (RAG) methods have significantly enhanced the performance of large language models (LLMs) in domain-specific tasks. However, existing RAG methods do not adequately utilize the naturally inherent hierarchical knowledge in human cognition, which limits the capabilities of RAG systems. In this paper, we introduce a new RAG approach, called HiRAG, which utilizes hierarchical knowledge to enhance the semantic understanding and structure capturing capabilities of RAG systems in the indexing and retrieval processes. Our extensive experiments demonstrate that HiRAG achieves significant performance improvements over the state-of-the-art baseline methods. The code of our proposed method is available at \href{https://github.com/hhy-huang/HiRAG}{https://github.com/hhy-huang/HiRAG}.

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chunking_by_seperators hhy-huang/HiRAG/hirag/_op.py official repository unverified MIT (permissive) · 39d3d26fb44efb3c · report
chunking_by_token_size hhy-huang/HiRAG/hirag/_op.py official repository unverified MIT (permissive) · bf9f7cd0dbc8f53e · report
extract_first_complete_json hhy-huang/HiRAG/hirag/_utils.py official repository unverified MIT (permissive) · e857b5e84512c1ad · report
extract_values_from_json hhy-huang/HiRAG/hirag/_utils.py official repository unverified MIT (permissive) · aa2e19784362624e · report
fit_gaussian_mixture hhy-huang/HiRAG/hirag/_cluster_utils.py official repository unverified MIT (permissive) · afc0b756a1dddef5 · report
get_chunks hhy-huang/HiRAG/hirag/_op.py official repository unverified MIT (permissive) · 903db7183e5ab2a8 · report
gpt_35_turbo_complete hhy-huang/HiRAG/hirag/_llm_backup.py official repository unverified MIT (permissive) · 1baae13108795150 · report
gpt_4o_complete hhy-huang/HiRAG/hirag/_llm_backup.py official repository unverified MIT (permissive) · bb6322730b978b13 · report
make_path_idable hhy-huang/HiRAG/hirag/_storage/gdb_neo4j.py official repository unverified MIT (permissive) · d0c42489d83e2ac7 · report
openai_complete_if_cache hhy-huang/HiRAG/hirag/_llm_backup.py official repository unverified MIT (permissive) · 34d148a5b4170144 · report
parse_value hhy-huang/HiRAG/hirag/_utils.py official repository unverified MIT (permissive) · da80c1396be65c39 · report

Tasks

Multi-hop Question AnsweringQuestion AnsweringRAGRetrievalRetrieval-augmented Generation

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Methods

AdamAttentionAttention DropoutBARTBERTBPEDense ConnectionsDropoutLayer NormalizationLinear LayerLinear Warmup With Linear DecayMulti-Head AttentionRAGResidual ConnectionSoftmaxWeight DecayWordPiece

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