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近日,谷歌云(Google Cloud)为其Valkey和Redis集群的Memorystore引入了一项颇具创新性的可扩展向量搜索功能。这一升级的核心在于其低延迟、高效率的向量检索能力,使得开发者能够在数十亿个向量中快速执行搜索操作。这一特性尤其适用于需要高精度和实时反馈的生成式人工智能(Generative AI)应用,如检索增强生成(RAG)和推荐系统,这将极大提升用户体验和操作效率。 该向 ...
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在人工智能飞速发展的背景下,谷歌云近日宣布为其Valkey和Redis集群的Memorystore引入了可扩展的向量搜索功能。这一新特性不仅将极大提升搜索速度和准确性,还为依赖生成式人工智能的应用程序提供了强有力的支持。这些应用包括检索增强生成(RAG)、推荐系统以及语义搜索等。 可扩展向量搜索的核心技术 为了实现这一目标,谷歌云通过分区技术在集群中跨节点划分向量索引,每个节点都有自己的索引分区, ...
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作者 | Mohit Palriwal 译者 | 刘雅梦 策划 | 丁晓昀 谷歌云(Google Cloud)为 Valkey 和 Redis 集群的 Memorystore 引入了可扩展的向量搜索功能。该更新允许开发人员以超低的延迟在数十亿个向量上执行向量搜索。 这种增强对于依赖于生成式人工智能的应用程序来说特别有益,例如检索增强生成(RAG)、推荐系统和语义搜索。 该更新利用了在集群中跨节点划 ...