ruvector/docs
ruvnet 78df97bdde test(leiden-cpm): full-partition ARI — CPM at γ=2 scores 0.393 vs 0.107 modularity (3.7× win)
Added full_partition_ari(predicted, truth) helper — standard
Hubert-Arabie ARI against the full 70-module SBM ground-truth
label vector, not the 2-way hub-vs-non-hub coarsening inherited
from AC-3a. Re-measured the γ sweep on default N=1024 SBM.

Default SBM, weight-normalized CPM, full-partition ARI:
  γ = 0.1 – 1.0  : 0.000  (collapse to 1 community)
  γ = 2.0        : **0.393** (109 communities)  ← best
  γ = 4.0        :  0.119  (280 communities)
  γ ≥ 8          :  → 0    (over-split to singletons)

Baselines (same graph, full-partition ARI):
  modularity-Leiden full_ari :  0.107  (237 communities)
  **CPM @ γ=2 full_ari       :  0.393  — 3.7× over modularity-Leiden**

**18th discovery, 4th unambiguous win.** The measurement fix was
the lever — not another algorithm. Item 17 predicted this
exactly: CPM's 109 communities were recovering ~57 % of the
70-module structure all along, but the 2-way coarsening was
throwing away the signal. With the correct metric, CPM @ γ=2
becomes the new state-of-the-art community detector on this
substrate. Still below the 0.75 AC-3a SOTA target, but the gap
is now a tractable 2× rather than a 38× mystery.

Also closes out a recurring branch-wide failure mode: AC-3a's
2-way coarsening was inherited uncritically from the first
AC-3 test. Two community-detection algorithms (Leiden
modularity, Leiden CPM) under-scored their paper's claims on
it before the metric was finally upgraded.

Branch-wide pattern catalogue now has three distinct 'how a
measurement-driven discovery lands' shapes:
  (a) orthogonal axis — items 6 (adaptive cadence), 14 (Leiden
      refinement): change the axis, don't push harder on the
      current axis.
  (b) rider-matches-paper — item 17 (weight-normalized CPM):
      pre-measurement diagnosis right, predicted rider worked.
  (c) coarsening upgrade — item 18: a test's coarsening choice
      is a threshold decision and deserves the same review
      discipline as numerical tolerances.

Files:
  - tests/leiden_cpm.rs: full_partition_ari helper +
    sweep now publishes both 2way and full ARI at each γ.
  - docs/adr/ADR-154: §17 item 18 added; pattern-summary
    paragraph extended with the 3rd shape.

No production-code change (this is a measurement-correctness
commit). All 93 prior tests still pass.

Co-Authored-By: claude-flow <ruv@ruv.net>
EOF
)
2026-04-22 21:46:57 -04:00
..
adr test(leiden-cpm): full-partition ARI — CPM at γ=2 scores 0.393 vs 0.107 modularity (3.7× win) 2026-04-22 21:46:57 -04:00
analysis fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
api fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
architecture fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
benchmarks fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
cloud-architecture fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
cnn feat(demo): add Self-Learning tab with 6 interactive training demos 2026-03-11 19:31:23 -04:00
code-reviews docs: reorganize into subfolders 2026-01-21 23:43:50 -05:00
dag docs(dag): add comprehensive Neural DAG Learning implementation plan 2025-12-29 22:15:55 +00:00
development feat(micro-hnsw-wasm): Add Neuromorphic HNSW v2.3 with SNN Integration (#40) 2025-12-01 22:30:15 -05:00
examples feat(musica): structure-first audio separation via dynamic mincut (#337) 2026-04-08 12:23:48 -05:00
gnn fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
guides docs: add missing capabilities to advanced features guide 2026-02-26 16:09:06 +00:00
hnsw fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
hooks feat(cli): Implement full hooks system in Rust CLI 2025-12-27 01:08:36 +00:00
implementation fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
integration fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
nervous-system docs: reorganize into subfolders 2026-01-21 23:43:50 -05:00
optimization fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
plans/subpolynomial-time-mincut chore(docs): Clean up and reorganize documentation structure 2025-12-25 19:39:44 +00:00
postgres fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
project-phases Clean up repository structure and organize documentation 2025-11-20 19:50:03 +00:00
publishing fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
research feat(examples): connectome-fly SOTA example + ADR-154 2026-04-21 23:27:11 -04:00
reviews perf(ruvllm): optimize MoE routing with buffer reuse and optional metrics 2026-03-12 23:27:00 -04:00
ruvllm docs: reorganize into subfolders 2026-01-21 23:43:50 -05:00
rvagent feat(rvAgent): Complete DeepAgents Rust Conversion (ADR-093 → ADR-103) (#262) 2026-03-16 09:52:32 -04:00
security feat(rvAgent): Complete DeepAgents Rust Conversion (ADR-093 → ADR-103) (#262) 2026-03-16 09:52:32 -04:00
sparse-inference feat: Add PowerInfer-style sparse inference engine with precision lanes (#106) 2026-01-04 23:40:31 -05:00
sql feat(postgres): Add ruvector-postgres extension with SIMD optimizations (#42) 2025-12-02 09:55:07 -05:00
testing Clean up repository structure and organize documentation 2025-11-20 19:50:03 +00:00
training fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
.gitkeep Clean up repository structure and organize documentation 2025-11-20 19:50:03 +00:00
.nojekyll fix: add .nojekyll to disable Jekyll processing 2026-03-11 17:53:19 -04:00
agi-container.md feat(rvAgent): Complete DeepAgents Rust Conversion (ADR-093 → ADR-103) (#262) 2026-03-16 09:52:32 -04:00
C2-shell-execution-hardening.md feat(rvAgent): Complete DeepAgents Rust Conversion (ADR-093 → ADR-103) (#262) 2026-03-16 09:52:32 -04:00
C8_RESULT_VALIDATION_IMPLEMENTATION.md feat(rvAgent): Complete DeepAgents Rust Conversion (ADR-093 → ADR-103) (#262) 2026-03-16 09:52:32 -04:00
consciousness-api.md feat(consciousness): SOTA IIT Φ, causal emergence, quantum collapse crate (ADR-131) 2026-03-31 16:36:25 -04:00
IMPLEMENTATION-C5.md feat(rvAgent): Complete DeepAgents Rust Conversion (ADR-093 → ADR-103) (#262) 2026-03-16 09:52:32 -04:00
index.html refactor: move CNN demo to docs/cnn/ for shorter URL 2026-03-11 17:52:13 -04:00
INDEX.md fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
moe-routing-optimization-analysis.md perf(ruvllm): optimize MoE routing with buffer reuse and optional metrics 2026-03-12 23:27:00 -04:00
README.md fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
REPO_STRUCTURE.md fix(brain): defer sparsifier build on startup for large graphs 2026-03-24 12:29:52 +00:00
research-openfang.md Add OpenFang project research document 2026-02-26 14:14:58 +00:00

RuVector Documentation

Complete documentation for RuVector, the high-performance Rust vector database with global scale capabilities.

📚 Documentation Structure

docs/
├── adr/                    # Architecture Decision Records
├── analysis/               # Research & analysis docs
├── api/                    # API references (Rust, Node.js, Cypher)
├── architecture/           # System design docs
├── benchmarks/             # Performance benchmarks & results
├── cloud-architecture/     # Cloud deployment guides
├── code-reviews/           # Code review documentation
├── dag/                    # DAG implementation
├── development/            # Developer guides
├── examples/               # SQL examples
├── gnn/                    # GNN/Graph implementation
├── guides/                 # User guides & tutorials
├── hnsw/                   # HNSW index documentation
├── hooks/                  # Hooks system documentation
├── implementation/         # Implementation details & summaries
├── integration/            # Integration guides
├── nervous-system/         # Nervous system architecture
├── optimization/           # Performance optimization guides
├── plans/                  # Implementation plans
├── postgres/               # PostgreSQL extension docs
├── project-phases/         # Development phases
├── publishing/             # NPM publishing guides
├── research/               # Research documentation
├── ruvllm/                 # RuVLLM documentation
├── security/               # Security audits & reports
├── sparse-inference/       # Sparse inference docs
├── sql/                    # SQL examples
├── testing/                # Testing documentation
└── training/               # Training & LoRA docs

Getting Started

Architecture & Design

API Reference

Performance & Benchmarks

Security

Implementation

Specialized Topics

Development

Research

  • research/ - Research documentation
    • cognitive-frontier/ - Cognitive frontier research
    • gnn-v2/ - GNN v2 research
    • latent-space/ - HNSW & attention research
    • mincut/ - MinCut algorithm research

For New Users

  1. Start with Getting Started Guide
  2. Try the Basic Tutorial
  3. Review API Documentation

For Cloud Deployment

  1. Read Architecture Overview
  2. Follow Deployment Guide
  3. Apply Performance Optimizations

For Contributors

  1. Read Contributing Guidelines
  2. Review Architecture Decisions
  3. Check Migration Guide

For Performance Tuning

  1. Review Optimization Guide
  2. Run Benchmarks
  3. Check Analysis

📊 Documentation Status

Category Directory Status
Getting Started guides/ Complete
Architecture architecture/, adr/ Complete
API Reference api/ Complete
Performance benchmarks/, optimization/, analysis/ Complete
Security security/ Complete
Implementation implementation/, integration/ Complete
Development development/, testing/ Complete
Research research/ 📚 Ongoing

Total Documentation: 460+ documents across 60+ directories


🔗 External Resources


Last Updated: 2026-02-26 | Version: 2.0.4 (core) / 0.1.100 (npm) | Status: Production Ready