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Dragan Spiridonov
6b249c034f
Implements 23 tasks across 4 phases per docs/implementation/ruvector-integration-plan.md: Phase 1 — Foundation (make what we have faster): - Native HNSW backend via @ruvector/router (150x search speedup, ADR-081) - Metadata filtering layer with composable AND/OR/NOT/FIELD expressions - Temporal tensor compression (Int8Array quantization, 4x memory reduction) - Deterministic golden-ratio dithering for cross-platform reproducibility - 15 feature flags (all default false) with CLI profiles Phase 2 — Intelligence (make agents smarter): - Neural TinyDancer router with REINFORCE policy gradient (ADR-082) - SONA three-loop enhancement (MicroLoRA 0.18μs/adapt via WASM) - Cross-domain transfer learning with Thompson Sampling (ADR-084) - Regret tracking with log-log regression growth classification Phase 3 — Safety (make agents trustworthy): - Sheaf-gated test validation via prime-radiant CohomologyEngine - Coherence-gated agent actions (3-filter pipeline, ADR-083) - Witness chain audit trail with SHA-256 hash linking - HNSW health monitoring with spectral analysis Phase 4 — Differentiation (make AQE unique): - Cognitive container export/import (RVF v2) - DAG attention scheduler for dependency-aware test ordering - CNN visual regression with spatial pooling embeddings - Behavior tree orchestration (Sequence/Selector/Parallel) - Reasoning QEC with majority-vote consensus - Browser QE dashboard scaffolding Also: remove obsolete v2-to-v3-migration test (source already removed), add ADR-081 through ADR-085, research docs, benchmarks, and integration test suites for all 4 phases. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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3.0 KiB
RuVector Advanced Systems Crates Research
Crates Covered
- ruvector-coherence - Spectral coherence metrics, HNSW health monitoring
- ruvector-cognitive-container - Verifiable WASM computation with witness chain
- ruvector-verified - Proof-carrying vector operations (<2% overhead)
- ruvector-verified-wasm - Browser-side formal verification
- ruvector-temporal-tensor - 4-10x tensor compression with access-pattern tiering
- thermorust - Thermodynamic neural motifs with Landauer dissipation tracking
- ruvector-dither - Deterministic low-discrepancy dithering (golden ratio + pi digits)
- ruvector-crv - 6-stage signal processing pipeline (hyperbolic + SNN + min-cut)
Key Findings
ruvector-coherence
- Spectral graph health: Fiedler value, spectral gap, effective resistance
- HnswHealthMonitor: alerts for FragileIndex, PoorExpansion, HighResistance, LowCoherence
- Incremental spectral tracking via first-order perturbation theory
- Zero external math dependencies
ruvector-verified
- Sub-microsecond proofs: ~496ns dimension equality, ~11ns/vector batch
- 3-tier gated routing: Reflex (<10ns), Standard (<1us), Deep (<100us)
- 82-byte attestation receipts with proof_term_hash, environment_hash
- FastTermArena: 1.6ns cache hits with O(1) bump allocation
- 10 verified domains including medical diagnostics and financial routing
ruvector-temporal-tensor
- Groupwise symmetric quantization with temporal segment reuse
- Access-pattern tiering: Hot (8-bit, 4x), Warm (5-7 bit, 4.6-6.4x), Cold (3-bit, 10.7x)
- Zero runtime dependencies, fully WASM-compatible
- Specialized pack/unpack for 3/5/7/8-bit (8 values at a time)
ruvector-cognitive-container
- 5 budgeted phases: ingest, min-cut, spectral, evidence, witness
- Hash-linked witness receipts (ContainerWitnessReceipt)
- SPRT evidence accumulation for Pass/Fail/Inconclusive decisions
- Budget-constrained execution: skip phases if budget exhausted
thermorust
- Ising + soft-spin Hamiltonians with Metropolis-Hastings dynamics
- Landauer dissipation accounting (2.87e-21 J per irreversible transition)
- Hopfield associative memory with energy-aware recall
- Simulated annealing (discrete + continuous)
ruvector-dither
- Golden-ratio quasi-random (best 1-D equidistribution, never repeats)
- Pi-digit table (256-byte cyclic lookup, exact reproducibility)
- no_std, zero dependencies, fully deterministic
AQE Integration Opportunities
- HNSW health monitoring: Continuous spectral analysis of AQE's memory index
- Verified operations: Catch dimension mismatches at proof time, not silently
- Temporal compression: 4-10x memory reduction for 150K+ patterns by access frequency
- Cognitive containers: Auditable computation with witness receipts for every agent decision
- Dithering: Reproducible cross-platform embedding compression (WASM = x86 = ARM)
- Thermodynamic energy budgets: Novel resource accounting for agent compute allocation