mirror of
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70003115df
Adds src/analysis/structural.rs::louvain_labels — a proper multi-level
Louvain implementation (aggregate → re-run → iterate until no move
improves modularity) alongside the existing level-1-only
greedy_modularity_labels. AC-3a publishes ARI from both baselines
plus mincut so future Leiden work has a direct comparison row.
Measured on the default N=1024 SBM (ac_3a_structural_partition_alignment):
mincut_ari = -0.001 (1/1012 degenerate partition — separate gap)
greedy_ari = 0.174 (Louvain level-1 only; the old baseline)
louvain_ari = 0.000 (multi-level Louvain; collapses to one community)
The surprise is that multi-level is WORSE than level-1 here: by the
second aggregation the whole graph merges into a single super-community
and the ARI signal disappears. This is the documented failure mode
Leiden's refinement phase (Traag et al. 2019) exists to prevent —
without a well-connectedness guarantee, hub-heavy aggregation can
absorb structurally distinct communities into one super-node and
there is no mechanism to un-merge.
ADR-154 §17 item 11 records the finding. §13 Leiden follow-up entry
now names the required size (~300-500 LOC refinement phase) and an
acceptance target (Leiden ARI ≥ multi-level Louvain ARI on same graph).
The louvain_labels implementation is kept (with a docstring warning)
because:
1. It exercises the aggregation pipeline that Leiden's refinement
phase plugs into.
2. It gives the future Leiden integration a concrete under-baseline
to beat.
3. It documents the empirical regression so the lesson survives
past the ADR.
Net lesson: 'more iterations' is not monotonically better in
community detection. Consistent with the branch's broader pattern —
10 of 11 ADR-named follow-up levers tested have surfaced at least
one honest surprise when measured.
Code: +207 LOC in structural.rs, +8 LOC in analysis/mod.rs wrapper,
+14 LOC test additions. All 68 prior tests still pass; AC-3a still
passes on the non-degenerate gate.
Co-Authored-By: claude-flow <ruv@ruv.net>
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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