Production readiness of recent DCO methods

Determine whether recently proposed Distance Comparison Operation (DCO) algorithms that avoid full-dimensional distance computations are ready for deployment in production vector database systems.

Background

Distance Comparison Operations (DCOs) have been identified as a key bottleneck in vector similarity search, and several recent algorithms propose avoiding full-dimensional computations to accelerate queries. Prior evaluations often used limited dimensionality ranges, restricted hardware (e.g., CPUs without SIMD), and primarily in-distribution queries, leaving uncertainty about real-world deployment viability. The abstract explicitly frames this as an open question before the benchmark study is presented.