Veda and EffVeda partition vectors into disjoint role-combination blocks, apply lattice-based copy and merge operations within a storage budget, index large nodes with HNSW, and use coordinated search with distance bounds to deliver higher throughput at high recall.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.DB 2years
2026 2representative citing papers
CubeGraph uses hierarchical spatial grids and on-the-fly stitching of per-cell vector graphs to enable single-pass nearest-neighbor search for hybrid vector-spatial queries.
citing papers explorer
-
Don't Be a Pot Stirrer! Authorized Vector Data Retrieval via Access-Aware Indexing
Veda and EffVeda partition vectors into disjoint role-combination blocks, apply lattice-based copy and merge operations within a storage budget, index large nodes with HNSW, and use coordinated search with distance bounds to deliver higher throughput at high recall.
-
CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data
CubeGraph uses hierarchical spatial grids and on-the-fly stitching of per-cell vector graphs to enable single-pass nearest-neighbor search for hybrid vector-spatial queries.