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* 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>
163 lines
5.7 KiB
Markdown
163 lines
5.7 KiB
Markdown
# Repository Structure
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Clean and organized structure for the RuVector project.
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## Root Directory
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```
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ruvector/
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├── README.md # Main project README
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├── CHANGELOG.md # Version history and changes
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├── CLAUDE.md # Claude Code configuration
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├── LICENSE # MIT License
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├── Cargo.toml # Rust workspace configuration
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├── Cargo.lock # Rust dependency lock
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├── package.json # NPM workspace configuration
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├── .gitignore # Git ignore rules
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│
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├── crates/ # Rust crates
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│ ├── ruvector-core/ # Core vector database
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│ ├── ruvector-node/ # Node.js bindings
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│ ├── ruvector-wasm/ # WebAssembly bindings
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│ ├── ruvector-cli/ # Command-line interface
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│ ├── ruvector-bench/ # Benchmarking suite
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│ ├── router-core/ # Neural routing
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│ ├── router-cli/ # Router CLI
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│ ├── router-ffi/ # FFI bindings
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│ └── router-wasm/ # Router WASM
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│
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├── docs/ # 📚 Documentation (organized)
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│ ├── README.md # Documentation index
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│ ├── getting-started/ # Quick starts and tutorials
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│ ├── api/ # API documentation
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│ ├── architecture/ # System architecture
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│ ├── cloud-architecture/ # Global cloud deployment
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│ ├── guide/ # User guides
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│ ├── benchmarks/ # Benchmarking guides
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│ ├── optimization/ # Performance optimization
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│ ├── development/ # Contributing and development
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│ ├── testing/ # Testing documentation
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│ └── project-phases/ # Historical project phases
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│
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├── src/ # 🚀 Cloud deployment source
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│ ├── cloud-run/ # Cloud Run services
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│ ├── agentic-integration/ # Agent coordination
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│ └── burst-scaling/ # Auto-scaling system
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│
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├── benchmarks/ # Load testing and benchmarks
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│ ├── load-generator.ts
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│ ├── benchmark-scenarios.ts
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│ └── ...
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│
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├── tests/ # Rust integration tests
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├── examples/ # Example code
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│ ├── rust/ # Rust examples
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│ ├── nodejs/ # Node.js examples
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│ └── wasm-*/ # WASM examples
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│
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└── .claude-flow/ # Claude Flow coordination
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```
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## Documentation Organization
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All documentation is now organized in `/docs` with clear categories:
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### 📖 Getting Started (7 files)
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- AGENTICDB_QUICKSTART.md - Quick start guide
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- OPTIMIZATION_QUICK_START.md - Performance quick start
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- AGENTICDB_API.md - API reference
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- wasm-api.md - WebAssembly API
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- wasm-build-guide.md - WASM build guide
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- advanced-features.md - Advanced features
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- quick-fix-guide.md - Common fixes
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### 🏗️ Architecture (11 files)
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- TECHNICAL_PLAN.md - Complete technical plan
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- architecture/ - System architecture
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- cloud-architecture/ - Global deployment
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- architecture-overview.md - 15-region design
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- scaling-strategy.md - Auto-scaling
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- infrastructure-design.md - GCP infrastructure
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- DEPLOYMENT_GUIDE.md - Deployment steps
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- PERFORMANCE_OPTIMIZATION_GUIDE.md - Tuning guide
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### 📚 API Reference (2 files)
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- api/RUST_API.md - Rust API
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- api/NODEJS_API.md - Node.js API
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### 📖 User Guides (4 files)
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- guide/GETTING_STARTED.md
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- guide/BASIC_TUTORIAL.md
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- guide/ADVANCED_FEATURES.md
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- guide/INSTALLATION.md
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### ⚡ Performance (5 files)
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- optimization/ - Performance guides
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- benchmarks/ - Benchmarking documentation
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### 👨💻 Development (3 files)
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- development/CONTRIBUTING.md - Contribution guidelines
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- development/MIGRATION.md - Migration guide
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- development/FIXING_COMPILATION_ERRORS.md - Troubleshooting
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### 🧪 Testing (2 files)
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- testing/TDD_TEST_SUITE_SUMMARY.md
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- testing/integration-testing-report.md
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### 📜 Historical (9 files)
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- project-phases/ - Project phase documentation
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## Source Code Organization
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### `/src` - Cloud Deployment Code
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All global streaming implementation code:
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- `cloud-run/` - Cloud Run streaming services
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- `agentic-integration/` - Distributed agent coordination
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- `burst-scaling/` - Auto-scaling and capacity management
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### `/crates` - Rust Crates
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Core Rust implementation organized as workspace:
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- Core functionality in `ruvector-core`
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- Platform-specific bindings (Node.js, WASM, FFI)
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- CLI and benchmarking tools
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### `/benchmarks` - Load Testing
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Comprehensive benchmarking suite:
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- Load generators for 25B+ concurrent connections
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- 15+ test scenarios
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- Results analysis and visualization
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## File Counts
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- **Total Files**: 48 production files
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- **Documentation**: 42 markdown files (organized)
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- **Source Code**: 28,000+ lines
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- **Root Files**: 8 essential files only
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## Clean Root Directory
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Only essential files remain in root:
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- ✅ README.md - Project overview
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- ✅ CHANGELOG.md - Version history
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- ✅ CLAUDE.md - Development configuration
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- ✅ LICENSE - MIT license
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- ✅ Cargo.toml - Rust workspace
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- ✅ Cargo.lock - Dependencies
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- ✅ package.json - NPM workspace
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- ✅ .gitignore - Git rules
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**No test files, temporary files, or duplicate docs in root!**
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## Navigation Tips
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1. **New users**: Start at [docs/README.md](./docs/README.md)
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2. **Quick start**: See [docs/getting-started/](./docs/getting-started/)
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3. **Cloud deployment**: Check [docs/cloud-architecture/](./docs/cloud-architecture/)
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4. **Contributing**: Read [docs/development/CONTRIBUTING.md](./docs/development/CONTRIBUTING.md)
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5. **API docs**: Browse [docs/api/](./docs/api/)
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---
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**Last Updated**: 2025-11-20
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**Status**: ✅ Clean and Organized
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**Total Documentation**: 42 files properly categorized
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