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cs.DB2026
HRNN: A Hybrid Graph Index for Approximate Reverse k-Nearest Neighbor Search on High-Dimensional Vectors
Wenxuan Xia, Mingyu Yang, Wentao Li +1
Reverse k-nearest neighbor (RkNN) search returns all data points that regard a query vector as one of their k-nearest neighbors (kNNs). Existing RkNN methods typically follow a fil…
cs.DB2026
CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data
Mingyu Yang, Wentao Li, Wei Wang
Hybrid queries combining high-dimensional vector similarity search with spatio-temporal filters are increasingly critical for modern retrieval-augmented generation (RAG) systems. E…
cs.DB2026
E2E: Efficient Filtered AKNN Search via Adaptive Termination
Wenxuan Xia, Mingyu Yang, Wentao Li +1
Approximate k-Nearest Neighbor (AKNN) search is widely used in vector databases. When vectors carry additional attributes (e.g., labels or numerical values), filtered AKNN search r…