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English(EN) NeuRoute: Logit-Guided Neural Routing for Billion-Scale Vector Search with Sub-Hour Index Construction

NeuRoute 系统支持十亿级向量搜索，索引构建时间低于一小时

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了 NeuRoute，一个新颖的基于神经网络的索引系统，专为高效的十亿级向量搜索而设计。该系统利用 Logit 引导神经网络路由，显著加快了索引构建速度，对于 BigANN-1B 和 Deep1B-1B 等数据集，构建过程可在不到一小时内完成。NeuRoute 在速度上超越了 OPQ+IVF-PQ 等现有方法，同时保持高召回率，实现了具有竞争力的准确率-吞吐量权衡。 AI

影响 这种新的索引方法可以加速依赖于高效相似性搜索的大规模 AI 应用的开发和部署。

排序理由 该集群包含一篇详细介绍向量搜索新方法的学术论文。

在 arXiv cs.LG 阅读 →

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NeuRoute 系统支持十亿级向量搜索，索引构建时间低于一小时

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该集群包含一篇详细介绍向量搜索新方法的学术论文。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Xingqiao Wang, Zi Wang, Xiaowei Xu ·

    NeuRoute：基于Logit引导的神经路由，实现每小时内构建的十亿级向量搜索

    arXiv:2608.15438v1 Announce Type: cross Abstract: Building approximate nearest neighbor (ANN) indexes at billion scale is often dominated by expensive global clustering or graph construction, making time-to-index a first-order systems concern. We present NeuRoute, a learned hashi…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Xiaowei Xu ·

    NeuRoute：用于十亿级向量搜索的 Logit 引导神经网络路由，索引构建时间少于一小时

    Building approximate nearest neighbor (ANN) indexes at billion scale is often dominated by expensive global clustering or graph construction, making time-to-index a first-order systems concern. We present NeuRoute, a learned hashing index that turns short binary codes into an eff…

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