MCGI adapts graph-based vector search to data manifolds via local intrinsic dimensionality to improve approximation quality and stability at billion scale.
Incremental isometric embedding of high-dimensional data using connected neighborhood graphs.IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(1):86–98
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MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search
MCGI adapts graph-based vector search to data manifolds via local intrinsic dimensionality to improve approximation quality and stability at billion scale.