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@ -11,6 +11,8 @@ We compared KAG with existing RAG methods in multi-hop Q&A. The results show tha
# Cite # Cite
If you use this software, please cite it as below: If you use this software, please cite it as below:
* [KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation](https://arxiv.org/abs/2409.13731)
* KGFabric: A Scalable Knowledge Graph Warehouse for Enterprise Data Interconnection
```bibtex ```bibtex
@article{liang2024kag, @article{liang2024kag,