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cs.IR2026
ASH: Asymmetric Scalar Hashing With Learned Dimensionality Reduction for High-Fidelity Vector Quantization
Mariano Tepper, Theodore Willke
For a long time, additive quantizers, such as product quantization, have been considered the gold standard in terms of accuracy and efficiency. Recently, scalar quantization has re…
cs.IR2024
GleanVec: Accelerating vector search with minimalist nonlinear dimensionality reduction
Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere +1
Embedding models can generate high-dimensional vectors whose similarity reflects semantic affinities. Thus, accurately and timely retrieving those vectors in a large collection tha…