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HuggingFace解决十亿向量精确匹配难题

@huggingface 2/ Why was this unsolved? Exact ground truth at billion scale means comparing every que...

精选理由

HuggingFace和Vultr联手解决了十亿向量精确匹配的计算难题,让社区免费享受这一技术突破。

AI 摘要

HuggingFace与Vultr合作解决了十亿规模向量的精确匹配问题。该问题需要将每个查询与每个向量进行比较,在100亿文档规模下需要进行超过千万亿次距离计算。两家公司共同承担了这一计算成本,使社区无需为此付费。这一突破为大规模向量搜索提供了可行解决方案。

原文 · Qdrant

@huggingface 2/ Why was this unsolved? Exact ground truth at billion scale means comparing every que...

@huggingface 2/ Why was this unsolved? Exact ground truth at billion scale means comparing every query against every vector. At 10B documents, over a quadrillion distance computations. We like hard problems. With @Vultr , we absorbed that cost so the community doesn't have to. 💬 0 🔄 0 ❤️ 1 👀 30 ⚡

HuggingFace解决十亿向量精确匹配难题 · AI 热点