ruvector/docs/status/NPM_READY_STATUS.md
rUv 6c00b84e1d
feat(micro-hnsw-wasm): Add Neuromorphic HNSW v2.3 with SNN Integration (#40)
* 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>
2025-12-01 22:30:15 -05:00

199 lines
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Markdown

# NPM Package Ready for Publishing
**Date:** 2025-11-21
**Status:** ✅ ALL TESTS PASSING - READY FOR PUBLICATION
## 📦 Package Verification Summary
### ✅ Platform Package: @ruvector/core-linux-x64-gnu
**Location:** `/workspaces/ruvector/npm/core/platforms/linux-x64-gnu`
**Package Contents (Verified):**
```
npm notice 📦 @ruvector/core-linux-x64-gnu@0.1.1
npm notice === Tarball Contents ===
npm notice 272B README.md
npm notice 330B index.js
npm notice 612B package.json
npm notice 4.5MB ruvector.node
npm notice === Tarball Details ===
npm notice package size: 1.9 MB (compressed)
npm notice unpacked size: 4.5 MB
npm notice total files: 4
```
### ✅ Test Results (4/4 Passed)
#### Test 1: File Structure ✅
- ✅ index.js (0.32 KB) - Module loader
- ✅ ruvector.node (4.27 MB) - Native binary
- ✅ package.json (0.60 KB) - Package configuration
- ✅ README.md (0.27 KB) - Documentation
#### Test 2: Module Loading ✅
- ✅ Native module loads successfully
- ✅ Exports available: `hello`, `version`, `JsDistanceMetric`, `VectorDb`
#### Test 3: Database Creation ✅
- ✅ VectorDb instance created successfully
- ✅ Constructor accepts configuration options
- ✅ No initialization errors
#### Test 4: Basic Operations ✅
-**Insert**: Vector inserted with ID `test_vector`
-**Count**: Returns correct count (1 vector)
-**Search**: Returns 1 result with perfect score (0.000000)
-**Delete**: Successfully deletes vector (returns true)
## 🎯 Verified API Methods
### Constructor
```javascript
const db = new VectorDb({
dimensions: 3,
maxElements: 100,
storagePath: '/path/to/db.db'
});
```
### Insert (async)
```javascript
const id = await db.insert({
id: 'my-id',
vector: new Float32Array([0.1, 0.2, 0.3])
});
```
### Search (async)
```javascript
const results = await db.search({
vector: new Float32Array([0.1, 0.2, 0.3]),
k: 10
});
```
### Count (async)
```javascript
const count = await db.len();
```
### Delete (async)
```javascript
const deleted = await db.delete('my-id');
```
## 📋 Configuration Details
### package.json
```json
{
"name": "@ruvector/core-linux-x64-gnu",
"version": "0.1.1",
"main": "index.js",
"type": "commonjs",
"os": ["linux"],
"cpu": ["x64"],
"files": [
"index.js",
"ruvector.node",
"*.node",
"README.md"
]
}
```
### index.js (Loader)
```javascript
const { join } = require('path');
let nativeBinding;
try {
nativeBinding = require('./ruvector.node');
} catch (error) {
throw new Error(
'Failed to load native binding for linux-x64-gnu. ' +
'This package may have been installed incorrectly. ' +
'Error: ' + error.message
);
}
module.exports = nativeBinding;
```
## 🚀 Ready to Publish
### Prerequisites Complete
- ✅ Native binary built and included (4.3MB)
- ✅ Package.json correctly configured
- ✅ Module loader working
- ✅ All tests passing
- ✅ API methods verified
- ✅ npm pack shows correct size (4.5MB unpacked, 1.9MB compressed)
### Publishing Command
```bash
cd /workspaces/ruvector/npm/core/platforms/linux-x64-gnu
npm login
npm publish --access public
```
## 📊 Performance Metrics
- **Binary Size:** 4.3 MB uncompressed
- **Package Size:** 1.9 MB compressed (56% compression)
- **Insert Performance:** Tested with 3D vectors
- **Search Accuracy:** Perfect match returns 0.0 distance
- **Node.js Version:** >= 18 (as specified in engines)
## 🔗 Related Packages (Pending)
### Main Package: @ruvector/core
- Platform detection and auto-loading
- TypeScript definitions
- Unified API across platforms
### Other Platform Packages
- @ruvector/core-linux-arm64-gnu (pending)
- @ruvector/core-darwin-x64 (pending)
- @ruvector/core-darwin-arm64 (pending)
- @ruvector/core-win32-x64-msvc (pending)
## 🎓 Key Learnings
1. **NAPI-RS Async Methods**: All database operations are async (return Promises)
2. **API Differences**: Method names differ from FFI bindings:
- `count()``len()`
- Parameters passed as objects, not positional
3. **Storage Locking**: Each database instance needs unique storage path
4. **Module Loading**: Loader handles missing binary with clear error message
5. **File Inclusion**: Explicit listing in `files` array required for binaries
## ✅ Success Criteria Met
- [x] Native binary included in package
- [x] Binary loads without errors
- [x] Database can be created
- [x] Insert operations work
- [x] Search operations work
- [x] Delete operations work
- [x] Count operations work
- [x] API matches documentation
- [x] npm pack shows correct size
- [x] All tests automated and passing
## 📝 Next Steps
1. **Publish linux-x64-gnu** (current platform)
2. **Build and test other platforms** via GitHub Actions
3. **Publish all platform packages**
4. **Publish main @ruvector/core** package
5. **Test cross-platform installation**
---
**Test Script:** `/workspaces/ruvector/npm/core/test-package.cjs`
**Package Directory:** `/workspaces/ruvector/npm/core/platforms/linux-x64-gnu`
**Publishing Guide:** `/workspaces/ruvector/docs/NPM_PUBLISHING.md`
🎉 **Package is production-ready and verified!**