mirror of
https://github.com/ruvnet/RuVector.git
synced 2026-05-23 04:27:11 +00:00
* docs: Add comprehensive GNN v2 implementation plans Add 22 detailed planning documents for 19 advanced GNN features: Tier 1 (Immediate - 3-6 months): - GNN-Guided HNSW Routing (+25% QPS) - Incremental Graph Learning/ATLAS (10-100x faster updates) - Neuro-Symbolic Query Execution (hybrid neural + logical) Tier 2 (Medium-Term - 6-12 months): - Hyperbolic Embeddings (Poincaré ball model) - Degree-Aware Adaptive Precision (2-4x memory reduction) - Continuous-Time Dynamic GNN (concept drift detection) Tier 3 (Research - 12+ months): - Graph Condensation (10-100x smaller graphs) - Native Sparse Attention (8-15x GPU speedup) - Quantum-Inspired Attention (long-range dependencies) Novel Innovations (10 experimental features): - Gravitational Embedding Fields, Causal Attention Networks - Topology-Aware Gradient Routing, Embedding Crystallization - Semantic Holography, Entangled Subspace Attention - Predictive Prefetch Attention, Morphological Attention - Adversarial Robustness Layer, Consensus Attention Includes comprehensive regression prevention strategy with: - Feature flag system for safe rollout - Performance baseline (186 tests + 6 search_v2 tests) - Automated rollback mechanisms Related to #38 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * feat(micro-hnsw-wasm): Add neuromorphic HNSW v2.3 with SNN integration ## New Crate: micro-hnsw-wasm v2.3.0 - Published to crates.io: https://crates.io/crates/micro-hnsw-wasm - 11.8KB WASM binary with 58 exported functions - Neuromorphic vector search combining HNSW + Spiking Neural Networks ### Core Features - HNSW graph-based approximate nearest neighbor search - Multi-distance metrics: L2, Cosine, Dot product - GNN extensions: typed nodes, edge weights, neighbor aggregation - Multi-core sharding: 256 cores × 32 vectors = 8K total ### Spiking Neural Network (SNN) - LIF (Leaky Integrate-and-Fire) neurons with membrane dynamics - STDP (Spike-Timing Dependent Plasticity) learning - Spike propagation through graph topology - HNSW→SNN bridge for similarity-driven neural activation ### Novel Neuromorphic Features (v2.3) - Spike-Timing Vector Encoding (rate-to-time conversion) - Homeostatic Plasticity (self-stabilizing thresholds) - Oscillatory Resonance (40Hz gamma synchronization) - Winner-Take-All Circuits (competitive selection) - Dendritic Computation (nonlinear branch integration) - Temporal Pattern Recognition (spike history matching) - Combined Neuromorphic Search pipeline ### Performance Optimizations - 5.5x faster SNN tick (2,726ns → 499ns) - 18% faster STDP learning - Pre-computed reciprocal constants - Division elimination in hot paths ### Documentation & Organization - Reorganized docs into subdirectories (gnn/, implementation/, publishing/, status/) - Added comprehensive README with badges, SEO, citations - Added benchmark.js and test_wasm.js test suites - Added DEEP_REVIEW.md with performance analysis - Added Verilog RTL for ASIC synthesis 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
5.7 KiB
5.7 KiB
Repository Structure
Clean and organized structure for the RuVector project.
Root Directory
ruvector/
├── README.md # Main project README
├── CHANGELOG.md # Version history and changes
├── CLAUDE.md # Claude Code configuration
├── LICENSE # MIT License
├── Cargo.toml # Rust workspace configuration
├── Cargo.lock # Rust dependency lock
├── package.json # NPM workspace configuration
├── .gitignore # Git ignore rules
│
├── crates/ # Rust crates
│ ├── ruvector-core/ # Core vector database
│ ├── ruvector-node/ # Node.js bindings
│ ├── ruvector-wasm/ # WebAssembly bindings
│ ├── ruvector-cli/ # Command-line interface
│ ├── ruvector-bench/ # Benchmarking suite
│ ├── router-core/ # Neural routing
│ ├── router-cli/ # Router CLI
│ ├── router-ffi/ # FFI bindings
│ └── router-wasm/ # Router WASM
│
├── docs/ # 📚 Documentation (organized)
│ ├── README.md # Documentation index
│ ├── getting-started/ # Quick starts and tutorials
│ ├── api/ # API documentation
│ ├── architecture/ # System architecture
│ ├── cloud-architecture/ # Global cloud deployment
│ ├── guide/ # User guides
│ ├── benchmarks/ # Benchmarking guides
│ ├── optimization/ # Performance optimization
│ ├── development/ # Contributing and development
│ ├── testing/ # Testing documentation
│ └── project-phases/ # Historical project phases
│
├── src/ # 🚀 Cloud deployment source
│ ├── cloud-run/ # Cloud Run services
│ ├── agentic-integration/ # Agent coordination
│ └── burst-scaling/ # Auto-scaling system
│
├── benchmarks/ # Load testing and benchmarks
│ ├── load-generator.ts
│ ├── benchmark-scenarios.ts
│ └── ...
│
├── tests/ # Rust integration tests
├── examples/ # Example code
│ ├── rust/ # Rust examples
│ ├── nodejs/ # Node.js examples
│ └── wasm-*/ # WASM examples
│
└── .claude-flow/ # Claude Flow coordination
Documentation Organization
All documentation is now organized in /docs with clear categories:
📖 Getting Started (7 files)
- AGENTICDB_QUICKSTART.md - Quick start guide
- OPTIMIZATION_QUICK_START.md - Performance quick start
- AGENTICDB_API.md - API reference
- wasm-api.md - WebAssembly API
- wasm-build-guide.md - WASM build guide
- advanced-features.md - Advanced features
- quick-fix-guide.md - Common fixes
🏗️ Architecture (11 files)
- TECHNICAL_PLAN.md - Complete technical plan
- architecture/ - System architecture
- cloud-architecture/ - Global deployment
- architecture-overview.md - 15-region design
- scaling-strategy.md - Auto-scaling
- infrastructure-design.md - GCP infrastructure
- DEPLOYMENT_GUIDE.md - Deployment steps
- PERFORMANCE_OPTIMIZATION_GUIDE.md - Tuning guide
📚 API Reference (2 files)
- api/RUST_API.md - Rust API
- api/NODEJS_API.md - Node.js API
📖 User Guides (4 files)
- guide/GETTING_STARTED.md
- guide/BASIC_TUTORIAL.md
- guide/ADVANCED_FEATURES.md
- guide/INSTALLATION.md
⚡ Performance (5 files)
- optimization/ - Performance guides
- benchmarks/ - Benchmarking documentation
👨💻 Development (3 files)
- development/CONTRIBUTING.md - Contribution guidelines
- development/MIGRATION.md - Migration guide
- development/FIXING_COMPILATION_ERRORS.md - Troubleshooting
🧪 Testing (2 files)
- testing/TDD_TEST_SUITE_SUMMARY.md
- testing/integration-testing-report.md
📜 Historical (9 files)
- project-phases/ - Project phase documentation
Source Code Organization
/src - Cloud Deployment Code
All global streaming implementation code:
cloud-run/- Cloud Run streaming servicesagentic-integration/- Distributed agent coordinationburst-scaling/- Auto-scaling and capacity management
/crates - Rust Crates
Core Rust implementation organized as workspace:
- Core functionality in
ruvector-core - Platform-specific bindings (Node.js, WASM, FFI)
- CLI and benchmarking tools
/benchmarks - Load Testing
Comprehensive benchmarking suite:
- Load generators for 25B+ concurrent connections
- 15+ test scenarios
- Results analysis and visualization
File Counts
- Total Files: 48 production files
- Documentation: 42 markdown files (organized)
- Source Code: 28,000+ lines
- Root Files: 8 essential files only
Clean Root Directory
Only essential files remain in root:
- ✅ README.md - Project overview
- ✅ CHANGELOG.md - Version history
- ✅ CLAUDE.md - Development configuration
- ✅ LICENSE - MIT license
- ✅ Cargo.toml - Rust workspace
- ✅ Cargo.lock - Dependencies
- ✅ package.json - NPM workspace
- ✅ .gitignore - Git rules
No test files, temporary files, or duplicate docs in root!
Navigation Tips
- New users: Start at docs/README.md
- Quick start: See docs/getting-started/
- Cloud deployment: Check docs/cloud-architecture/
- Contributing: Read docs/development/CONTRIBUTING.md
- API docs: Browse docs/api/
Last Updated: 2025-11-20 Status: ✅ Clean and Organized Total Documentation: 42 files properly categorized