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1f085dc35c
Previous coarse sweep peaked at ARI_full = 0.393 @ γ=2.0 (item 18).
Fine-γ sweep at {1.25, 1.5, 1.75, 2.0, 2.25, 2.5, 2.75, 3.0, 3.5}
on the default N=1024 SBM:
γ=1.25 ari_full=0.278 distinct= 45
γ=1.5 ari_full=0.323 distinct= 72
γ=1.75 ari_full=0.348 distinct= 70 ← exactly ground-truth count
γ=2.0 ari_full=0.393 distinct=109
γ=2.25 ari_full=0.425 distinct=156 ← new peak
γ=2.5 ari_full=0.425 distinct=171 ← plateau with γ=2.25
γ=2.75 ari_full=0.290 distinct=202
γ=3.0 ari_full=0.338 distinct=188
γ=3.5 ari_full=0.222 distinct=200
**CPM-Leiden full-partition ARI is now 0.425 vs modularity-
Leiden's 0.107 — a 3.97× improvement, 57 % of the AC-3a 0.75
SOTA target.**
Two non-obvious facts from the sweep:
(a) Peak ARI is at γ ∈ [2.25, 2.5] with 156–171 communities —
MORE than the ground-truth 70 modules. CPM's over-splitting
is aligned enough with ground truth that ARI tolerates it.
(b) γ = 1.75 exactly recovers 70 communities (the ground-truth
module count) but scores LOWER (0.348) than γ = 2.25's 156
communities. On this substrate, 'match the community count'
and 'maximize ARI' are distinct optimization targets.
Updated ADR §17 item 19 + §13 follow-up entry naming
CPM-refinement as the likely next lever to close the remaining
1.76× gap to the SOTA target.
Files:
- tests/leiden_cpm.rs: γ-list extended to 18 values covering
{1.0 ... 64.0} with fine resolution around the peak
- docs/adr/ADR-154: §17 item 19 added with the fine-sweep table
and the two non-obvious observations about count-vs-ARI
No production-code change. All 94 prior tests unchanged.
Co-Authored-By: claude-flow <ruv@ruv.net>
EOF
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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
- guides/GETTING_STARTED.md - Getting started guide
- guides/BASIC_TUTORIAL.md - Basic tutorial
- guides/INSTALLATION.md - Installation instructions
- guides/AGENTICDB_QUICKSTART.md - AgenticDB quick start
- guides/wasm-api.md - WebAssembly API documentation
Architecture & Design
- architecture/ - System architecture details
- cloud-architecture/ - Global cloud deployment
- adr/ - Architecture Decision Records
- nervous-system/ - Nervous system architecture
API Reference
- api/RUST_API.md - Rust API reference
- api/NODEJS_API.md - Node.js API reference
- api/CYPHER_REFERENCE.md - Cypher query reference
Performance & Benchmarks
- benchmarks/ - Performance benchmarks & results
- optimization/ - Performance optimization guides
- analysis/ - Research & analysis docs
Security
- security/ - Security audits & reports
Implementation
- implementation/ - Implementation details & summaries
- integration/ - Integration guides
- code-reviews/ - Code review documentation
Specialized Topics
- gnn/ - GNN/Graph implementation
- hnsw/ - HNSW index documentation
- postgres/ - PostgreSQL extension docs
- ruvllm/ - RuVLLM documentation
- training/ - Training & LoRA docs
Development
- development/CONTRIBUTING.md - Contribution guidelines
- development/MIGRATION.md - Migration guide
- testing/ - Testing documentation
- publishing/ - NPM publishing guides
Research
- research/ - Research documentation
- cognitive-frontier/ - Cognitive frontier research
- gnn-v2/ - GNN v2 research
- latent-space/ - HNSW & attention research
- mincut/ - MinCut algorithm research
🚀 Quick Links
For New Users
- Start with Getting Started Guide
- Try the Basic Tutorial
- Review API Documentation
For Cloud Deployment
- Read Architecture Overview
- Follow Deployment Guide
- Apply Performance Optimizations
For Contributors
- Read Contributing Guidelines
- Review Architecture Decisions
- Check Migration Guide
For Performance Tuning
- Review Optimization Guide
- Run Benchmarks
- 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
- GitHub Repository: https://github.com/ruvnet/ruvector
- Main README: ../README.md
- Changelog: ../CHANGELOG.md
- License: ../LICENSE
Last Updated: 2026-02-26 | Version: 2.0.4 (core) / 0.1.100 (npm) | Status: Production Ready