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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> |
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RuVector Documentation
Complete documentation for RuVector, the high-performance Rust vector database with global scale capabilities.
📚 Documentation Structure
Getting Started
Quick start guides and tutorials for new users:
- AGENTICDB_QUICKSTART.md - Quick start for AgenticDB compatibility
- OPTIMIZATION_QUICK_START.md - Performance optimization quick guide
- AGENTICDB_API.md - AgenticDB API reference
- wasm-api.md - WebAssembly API documentation
- wasm-build-guide.md - Building WASM bindings
- advanced-features.md - Advanced features guide
- quick-fix-guide.md - Common issues and fixes
Architecture & Design
System architecture and design documentation:
- TECHNICAL_PLAN.md - Complete technical plan and architecture
- INDEX.md - Documentation index
- architecture/ - System architecture details
- cloud-architecture/ - Global cloud deployment architecture
- architecture-overview.md - 15-region topology
- scaling-strategy.md - Auto-scaling & burst handling
- infrastructure-design.md - GCP infrastructure specs
- DEPLOYMENT_GUIDE.md - Step-by-step deployment
- PERFORMANCE_OPTIMIZATION_GUIDE.md - Advanced tuning
API Reference
API documentation for different platforms:
- api/ - Core API documentation
- RUST_API.md - Rust API reference
- NODEJS_API.md - Node.js API reference
User Guides
Comprehensive user guides:
- guide/ - User guides
- GETTING_STARTED.md - Getting started guide
- BASIC_TUTORIAL.md - Basic tutorial
- ADVANCED_FEATURES.md - Advanced features
- INSTALLATION.md - Installation instructions
Performance & Optimization
Performance tuning and benchmarking:
- optimization/ - Performance optimization guides
- BUILD_OPTIMIZATION.md - Build optimizations
- IMPLEMENTATION_SUMMARY.md - Implementation details
- OPTIMIZATION_RESULTS.md - Optimization results
- PERFORMANCE_TUNING_GUIDE.md - Performance tuning
- benchmarks/ - Benchmarking documentation
- BENCHMARKING_GUIDE.md - How to run benchmarks
Development
Contributing and development guides:
- development/ - Development documentation
- CONTRIBUTING.md - Contribution guidelines
- MIGRATION.md - Migration guide
- FIXING_COMPILATION_ERRORS.md - Troubleshooting compilation
Testing
Testing documentation and reports:
- testing/ - Testing documentation
- TDD_TEST_SUITE_SUMMARY.md - TDD test suite summary
- integration-testing-report.md - Integration test report
Project History
Historical project phase documentation:
- project-phases/ - Project phase documentation
- phase2_hnsw_implementation.md - Phase 2: HNSW
- PHASE3_SUMMARY.md - Phase 3 summary
- phase4-implementation-summary.md - Phase 4 summary
- PHASE5_COMPLETE.md - Phase 5 complete
- phase5-implementation-summary.md - Phase 5 summary
- PHASE6_ADVANCED.md - Phase 6 advanced features
- PHASE6_COMPLETION_REPORT.md - Phase 6 report
- PHASE6_SUMMARY.md - Phase 6 summary
Implementation Summary
- IMPLEMENTATION_SUMMARY.md - Complete implementation overview for global streaming
🚀 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 Technical Plan
- Check Migration Guide
For Performance Tuning
- Review Optimization Guide
- Run Benchmarks
- Apply Query Optimizations
📊 Documentation Status
| Category | Files | Status |
|---|---|---|
| Getting Started | 7 | ✅ Complete |
| Architecture | 11 | ✅ Complete |
| API Reference | 2 | ✅ Complete |
| User Guides | 4 | ✅ Complete |
| Optimization | 4 | ✅ Complete |
| Development | 3 | ✅ Complete |
| Testing | 2 | ✅ Complete |
| Project Phases | 8 | 📚 Historical |
Total Documentation: 40+ comprehensive documents
🔗 External Resources
- GitHub Repository: https://github.com/ruvnet/ruvector
- Main README: ../README.md
- Changelog: ../CHANGELOG.md
- License: ../LICENSE
Last Updated: 2025-11-20 | Version: 0.1.0 | Status: Production Ready