Adapting ColBERT MaxSim to 10,000-D Bipolar HDC for Edge Memory Gating
Equivalent-Flan-1590 · reddit · 2026-08-30
The author of Hillock v0.6.0 shared a technical breakdown of the retrieval and gating architecture for their local neuro-symbolic memory engine, addressing the variance growth issue when bundling query tokens in high-dimensional space.
Key Technical Points (HYDRA):
- Bipolar MaxSim: Implements ColBERT-style token-level MaxSim directly over 10,000-dimensional bipolar vectors {-1, +1} to calculate maximum cosine similarity.
- Sub-Dimensional Projection Cascade: To avoid CPU bottlenecks, it evaluates a 2,000-D subspace slice first, rejecting 95% of candidates in 0.5ms before evaluating the full vector.
- Positional Permutation for Multi-Hop: Uses cyclic coordinate shifts at each hop depth to preserve trajectory ordering across 2-hop and 3-hop relational paths.
- Performance: In an unseeded 32-query benchmark on a laptop CPU, fast-eval finished in 1.16s with 54.5% retrieval accuracy and a 60% hard-negative block rate.
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