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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 Graph Package - Validation Checklist
🎯 Integration Validation Status
1. Package Structure ✅
ruvector-graphcore library existsruvector-graph-nodeNAPI-RS bindings existruvector-graph-wasmWebAssembly bindings exist- All packages in Cargo.toml workspace
- All packages in package.json workspaces
2. Build System ✅
- Cargo workspace configuration
- NPM scripts for graph builds
- NAPI-RS build scripts
- WASM build scripts
- Feature flags configured
3. Test Coverage 🔄
- Integration test file created (
tests/graph_full_integration.rs) - Unit tests implemented (TODO: requires graph API)
- Integration tests implemented (TODO: requires graph API)
- Benchmark tests implemented (TODO: requires graph API)
- Neo4j compatibility tests (TODO: requires graph API)
4. Examples 🔄
- Basic graph operations example (
examples/graph/basic_graph.rs) - Cypher queries example (
examples/graph/cypher_queries.rs) - Hybrid search example (
examples/graph/hybrid_search.rs) - Distributed cluster example (
examples/graph/distributed_cluster.rs) - Examples runnable (TODO: requires graph API implementation)
5. Documentation ✅
- Validation checklist created
- Example templates documented
- Build instructions in package.json
- API documentation (TODO: generate with cargo doc)
🔧 Build Verification
Rust Builds
# Core library
cargo build -p ruvector-graph
# With all features
cargo build -p ruvector-graph --all-features
# Distributed features
cargo build -p ruvector-graph --features distributed
# Full workspace
cargo build --workspace
NAPI-RS Build (Node.js)
npm run build:graph-node
# Or directly:
cd crates/ruvector-graph-node && napi build --platform --release
WASM Build
npm run build:graph-wasm
# Or directly:
cd crates/ruvector-graph-wasm && bash build.sh
Test Execution
# All tests
cargo test --workspace
# Graph-specific tests
cargo test -p ruvector-graph
# Integration tests
cargo test --test graph_full_integration
📊 Neo4j Compatibility Matrix
Core Features
| Feature | Neo4j | RuVector Graph | Status |
|---|---|---|---|
| Property Graph Model | ✅ | 🔄 | In Progress |
| Nodes with Labels | ✅ | 🔄 | In Progress |
| Relationships with Types | ✅ | 🔄 | In Progress |
| Properties on Nodes/Edges | ✅ | 🔄 | In Progress |
| Multi-label Support | ✅ | 🔄 | In Progress |
| Transactions (ACID) | ✅ | 🔄 | In Progress |
Cypher Query Language
| Query Type | Neo4j | RuVector Graph | Status |
|---|---|---|---|
| CREATE | ✅ | 🔄 | In Progress |
| MATCH | ✅ | 🔄 | In Progress |
| WHERE | ✅ | 🔄 | In Progress |
| RETURN | ✅ | 🔄 | In Progress |
| SET | ✅ | 🔄 | In Progress |
| DELETE | ✅ | 🔄 | In Progress |
| MERGE | ✅ | 🔄 | In Progress |
| WITH | ✅ | 🔄 | Planned |
| UNION | ✅ | 🔄 | Planned |
| OPTIONAL MATCH | ✅ | 🔄 | Planned |
Advanced Features
| Feature | Neo4j | RuVector Graph | Status |
|---|---|---|---|
| Path Queries | ✅ | 🔄 | Planned |
| Shortest Path | ✅ | 🔄 | Planned |
| Graph Algorithms | ✅ | 🔄 | Planned |
| Full-text Search | ✅ | 🔄 | Planned |
| Spatial Queries | ✅ | 🔄 | Planned |
| Temporal Graphs | ✅ | 🔄 | Planned |
Protocol Support
| Protocol | Neo4j | RuVector Graph | Status |
|---|---|---|---|
| Bolt Protocol | ✅ | 🔄 | Planned |
| HTTP API | ✅ | ✅ | Via ruvector-server |
| WebSocket | ✅ | 🔄 | Planned |
Indexing
| Index Type | Neo4j | RuVector Graph | Status |
|---|---|---|---|
| B-Tree Index | ✅ | 🔄 | In Progress |
| Full-text Index | ✅ | 🔄 | Planned |
| Composite Index | ✅ | 🔄 | Planned |
| Vector Index | ❌ | ✅ | RuVector Extension |
🚀 Performance Benchmarks
Target Performance Metrics
| Operation | Target | Current | Status |
|---|---|---|---|
| Node Insertion | >100k nodes/sec | TBD | 🔄 |
| Relationship Creation | >50k edges/sec | TBD | 🔄 |
| Simple Traversal (depth-3) | <1ms | TBD | 🔄 |
| Vector Search (1M vectors) | <10ms | TBD | 🔄 |
| Complex Cypher Query | <100ms | TBD | 🔄 |
| Concurrent Reads | 10k+ QPS | TBD | 🔄 |
| Concurrent Writes | 5k+ TPS | TBD | 🔄 |
Benchmark Commands
# Run all benchmarks
cargo bench -p ruvector-graph
# Specific benchmark
cargo bench -p ruvector-graph --bench graph_operations
# With profiling
cargo bench -p ruvector-graph --features metrics
✅ API Completeness
Core API
- Graph Database initialization
- Node CRUD operations
- Relationship CRUD operations
- Property management
- Label/Type indexing
- Transaction support
Query API
- Cypher parser
- Query planner
- Query executor
- Result serialization
- Parameter binding
- Prepared statements
Vector Integration
- Vector embeddings on nodes
- Vector similarity search
- Hybrid vector-graph queries
- Combined scoring algorithms
- Graph-constrained vector search
Distributed API (with distributed feature)
- Cluster initialization
- Data sharding
- RAFT consensus
- Replication
- Failover handling
- Cross-shard queries
Bindings API
- Node.js bindings (NAPI-RS)
- WebAssembly bindings
- FFI bindings (future)
- REST API (via ruvector-server)
🔍 Quality Assurance
Code Quality
# Linting
cargo clippy --workspace -- -D warnings
# Formatting
cargo fmt --all --check
# Type checking
cargo check --workspace --all-features
Security Audit
# Dependency audit
cargo audit
# Security vulnerabilities
cargo deny check advisories
Performance Profiling
# CPU profiling
cargo flamegraph --bin ruvector-cli
# Memory profiling
valgrind --tool=memcheck target/release/ruvector-cli
📋 Pre-Release Checklist
Must Have ✅
- All packages compile without errors
- Workspace structure is correct
- Build scripts are functional
- Integration test framework exists
- Example templates created
Should Have 🔄
- Core graph API implemented
- Basic Cypher queries working
- Node.js bindings tested
- WASM bindings tested
- Performance benchmarks run
Nice to Have 🎯
- Full Cypher compatibility
- Distributed features tested
- Production deployment guide
- Migration tools from Neo4j
- Comprehensive benchmarks
🚦 Status Legend
- ✅ Complete
- 🔄 In Progress
- 🎯 Planned
- ❌ Not Supported
📝 Notes
Current Status (2024-11-25)
The RuVector Graph package structure is complete with:
- All three packages created and integrated
- Build system configured
- Test framework established
- Example templates documented
Next Steps:
- Implement core graph API in
ruvector-graph - Expose APIs through Node.js and WASM bindings
- Implement Cypher query parser
- Add vector-graph integration
- Run comprehensive tests and benchmarks
Known Issues
- Graph API not yet exposed (implementation in progress)
- Examples are templates (require API implementation)
- Integration tests are placeholders (require API implementation)
- Benchmarks not yet runnable (require API implementation)
Performance Goals
Based on RuVector's vector performance and Neo4j's graph performance:
- Target: 100k+ node insertions/sec
- Target: 50k+ relationship creations/sec
- Target: Sub-millisecond simple traversals
- Target: <10ms vector searches at 1M+ scale
- Target: 10k+ concurrent read queries/sec
Compatibility Goals
- 90%+ Cypher query compatibility with Neo4j
- Property graph model compliance
- Transaction ACID guarantees
- Extensible with vector embeddings (RuVector advantage)