English(EN) R$^{2}$Adapter: A Routing and Rewriting Adapter for Efficient Hybrid RAG

新的R$^{2}$Adapter通过将复杂查询路由到基于图的系统来优化RAG

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-04 04:00

研究人员开发了R$^{2}$Adapter，这是一种新颖的即插即用适配器，旨在优化检索增强生成（RAG）系统。该适配器在标准RAG和更复杂的基于图的RAG之间动态路由查询，确保只有真正受益于图推理的查询才会被后者处理。此外，R$^{2}$Adapter可以重写不确定的查询以提高检索质量，而无需额外的监督。实验表明，这种方法可以将基于图的RAG使用量减少高达59%，同时保持答案的准确性，并且它与各种RAG管道兼容。 AI

影响该适配器可以显著降低RAG系统中复杂查询的推理延迟和计算开销，从而提高效率。

排序理由该集群包含一篇详细介绍优化RAG系统新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

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$新的R$^{2}$Adapter通过将复杂查询路由到基于图的系统来优化RAG$

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报道来源 [1]

arXiv cs.CL TIER_1 English(EN) · Yucan Guo, Miao Su, Saiping Guan, Long Bai, Zhongni Hou, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng · 2026-09-04 04:00

R$^{2}$Adapter：一种用于高效混合RAG的路由和重写适配器

arXiv:2609.02894v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become a prevailing paradigm for enhancing Large Language Models (LLMs) with non-parametric knowledge. Vanilla RAG efficiently handles simple queries but struggles with relational or multi-ho…

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R$^{2}$Adapter：一种用于高效混合RAG的路由和重写适配器

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