An ANN search system using a refined clustering approach improves vector embedding accuracy, enhancing data analysis efficiency.
We present SHSRS (Semantic Hierarchical Search with Refined Subspace), an approximate nearest neighbour (ANN) search system for dense vector embeddings. The central algorithmic contribution is IGAR (Iterative Graph-Aligned Reassignment), a cluster label refinement procedure that reframes partition quality as a neighbour retention problem rather than a centroid proximity problem. Starting from a KMeans initialisation, IGAR iteratively reassigns vectors to the cluster that maximises agreement with their kNN graph neighbourhood...
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Chandan S H (2026) studied this question.
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