Shypd.aiThe largest open index of AI toolsSPTAG is an Open Source AI Frameworks & Infra tool that provides a distributed approximate nearest neighborhood search library. It offers high-quality vector index building, search, and distributed online serving toolkits for large-scale vector search scenarios.
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SPTAG (Space Partition Tree And Graph) is an open-source library developed by Microsoft Research and Microsoft Bing, designed for large-scale vector approximate nearest neighbor search. It represents samples as vectors and compares them using L2 or cosine distances. SPTAG offers two primary methods: kd-tree (SPTAG-KDT) for efficient index building and balanced k-means tree (SPTAG-BKT) for superior search accuracy in high-dimensional data. Key features include fresh updates for online vector deletion and insertion, and distributed serving across multiple machines. The library is inspired by the NGS approach and uses k-nearest neighborhood graphs for enhanced connectivity, with balanced k-means trees replacing kd-trees for improved accuracy with high-dimensional vectors. It provides an iterative search process combining tree and graph searches.
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