IVF-TQ replaces learned codebooks with a fixed random rotation and precomputed scalar quantizer in the residual layer of an IVF index, delivering streaming recall stability at fixed bit budgets via a uniform-over-sphere inner-product bound.
Incremental ivf index maintenance for streaming vector search
3 Pith papers cite this work. Polarity classification is still indexing.
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Benchmark study shows DCO methods for vector similarity search are not reliable silver bullets due to high sensitivity to data properties and hardware, making them unsuitable for production deployment.
NAVIS improves concurrent search and update throughput in on-SSD graph vector search by up to 2.74x for insertions and 1.37x for searches through reduced position-seeking overhead.
citing papers explorer
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IVF-TQ: Calibration-Free Streaming Vector Search via a Codebook-Free Residual Layer
IVF-TQ replaces learned codebooks with a fixed random rotation and precomputed scalar quantizer in the residual layer of an IVF index, delivering streaming recall stability at fixed bit budgets via a uniform-over-sphere inner-product bound.
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Distance Comparison Operations Are Not Silver Bullets in Vector Similarity Search: A Benchmark Study on Their Merits and Limits
Benchmark study shows DCO methods for vector similarity search are not reliable silver bullets due to high sensitivity to data properties and hardware, making them unsuitable for production deployment.
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NAVIS: Concurrent Search and Update with Low Position-Seeking Overhead in On-SSD Graph-Based Vector Search
NAVIS improves concurrent search and update throughput in on-SSD graph vector search by up to 2.74x for insertions and 1.37x for searches through reduced position-seeking overhead.