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From Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation

Summary: FusionRAG: RAG inference cache reuse beyond prefix caching. Offline chunk fusion injects cross-chunk context; online selective KV recomputation for attention-critical tokens preserves quality while cutting TTFT, outperforming prior KVCache reuse at the same recompute budget. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
7672
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,459 | 28.25%
DOI
10.1145/3786655

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BibTeX Citation

@inproceedings{wang_sigmod26,
        title = {{From Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generation}},
        author = {Wang, Jiahao and Xie, Weiyu and Zhang, Mingxing and Zhang, Boxing and Dong, Jianwei and Zhu, Yuening and Lin, Chen and Tang, Jingqi and Han, Yaochen and Ai, Zhiyuan and Chen, Xianglin and Wu, Yongwei and Jiang, Congfeng},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786655},
        url = {https://dl.acm.org/doi/10.1145/3786655},
        year = {2026}
}

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2,816 Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation 2025 SIGMOD 8.0959781e-05
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