ruvector/docs/status/MACOS_PACKAGES_SETUP.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

7.2 KiB

macOS Package Setup Complete

Date: 2025-11-21 Status: Package structure ready, awaiting binary builds

📦 macOS Packages Configured

@ruvector/core-darwin-x64 (Intel Macs)

Location: /workspaces/ruvector/npm/core/platforms/darwin-x64

Contents:

  • index.js (327B) - Module loader
  • package.json (603B) - Package configuration
  • README.md (876B) - Documentation
  • ruvector.node - Needs to be built via GitHub Actions

@ruvector/core-darwin-arm64 (Apple Silicon)

Location: /workspaces/ruvector/npm/core/platforms/darwin-arm64

Contents:

  • index.js (329B) - Module loader
  • package.json (627B) - Package configuration
  • README.md (910B) - Documentation
  • ruvector.node - Needs to be built via GitHub Actions

🔧 Package Configuration

darwin-x64 package.json

{
  "name": "@ruvector/core-darwin-x64",
  "version": "0.1.1",
  "main": "index.js",
  "os": ["darwin"],
  "cpu": ["x64"],
  "files": [
    "index.js",
    "ruvector.node",
    "*.node",
    "README.md"
  ]
}

darwin-arm64 package.json

{
  "name": "@ruvector/core-darwin-arm64",
  "version": "0.1.1",
  "main": "index.js",
  "os": ["darwin"],
  "cpu": ["arm64"],
  "files": [
    "index.js",
    "ruvector.node",
    "*.node",
    "README.md"
  ]
}

🚀 Building macOS Binaries

The multi-platform build workflow is already configured in .github/workflows/build-native.yml.

Trigger the workflow:

# Commit current changes
git add .
git commit -m "feat: Add macOS package configuration"

# Push to main branch (triggers workflow)
git push origin main

# Or manually trigger via GitHub Actions UI

Workflow will:

  1. Build on macOS-13 (Intel) for darwin-x64
  2. Build on macOS-14 (Apple Silicon) for darwin-arm64
  3. Upload artifacts to GitHub
  4. Binaries will be at: npm/packages/core/native/{darwin-x64,darwin-arm64}/ruvector.node

Option 2: Local Build (Requires macOS)

If you have access to a Mac:

For Intel Macs (darwin-x64):

cd npm/packages/core
npm install
npm run build:napi -- --target x86_64-apple-darwin

# Binary will be in: native/darwin-x64/ruvector.node

For Apple Silicon (darwin-arm64):

cd npm/packages/core
npm install
npm run build:napi -- --target aarch64-apple-darwin

# Binary will be in: native/darwin-arm64/ruvector.node

📋 After Binaries Are Built

1. Copy Binaries to Platform Packages

# For darwin-x64
cp npm/packages/core/native/darwin-x64/ruvector.node \
   npm/core/platforms/darwin-x64/

# For darwin-arm64
cp npm/packages/core/native/darwin-arm64/ruvector.node \
   npm/core/platforms/darwin-arm64/

2. Verify Package Contents

# darwin-x64
cd npm/core/platforms/darwin-x64
npm pack --dry-run

# darwin-arm64
cd npm/core/platforms/darwin-arm64
npm pack --dry-run

Expected output (similar to linux-x64-gnu):

npm notice 📦  @ruvector/core-darwin-x64@0.1.1
npm notice === Tarball Contents ===
npm notice 876B  README.md
npm notice 327B  index.js
npm notice 603B  package.json
npm notice 4.5MB ruvector.node
npm notice === Tarball Details ===
npm notice package size:  1.9 MB
npm notice unpacked size: 4.5 MB
npm notice total files:   4

3. Test Package (On macOS)

# Copy test script
cp npm/core/test-package.cjs npm/core/platforms/darwin-x64/test.cjs
# OR
cp npm/core/test-package.cjs npm/core/platforms/darwin-arm64/test.cjs

# Update platformDir in test script to current directory
sed -i 's|platforms/linux-x64-gnu|.|' test.cjs

# Run tests
node test.cjs

4. Publish to npm

# darwin-x64
cd npm/core/platforms/darwin-x64
npm publish --access public

# darwin-arm64
cd npm/core/platforms/darwin-arm64
npm publish --access public

🎯 Current Status

Package Structure: Complete

  • index.js loaders created
  • package.json configured correctly
  • README.md documentation added
  • Files array includes ruvector.node
  • Platform constraints set (os, cpu)

Binary Building: Pending

  • darwin-x64 binary needs to be built
  • darwin-arm64 binary needs to be built
  • Binaries need to be copied to platform directories
  • Package contents need to be verified with npm pack

Testing: Pending Binary Build

  • darwin-x64 package needs testing on Intel Mac
  • darwin-arm64 package needs testing on Apple Silicon
  • All 4 test suites need to pass

Publishing: Pending Testing

  • darwin-x64 publish to npm
  • darwin-arm64 publish to npm

Already Published

  • @ruvector/core-linux-x64-gnu - Ready for publishing

Also Need Binaries

  • @ruvector/core-linux-arm64-gnu - Awaiting build
  • @ruvector/core-win32-x64-msvc - Awaiting build

📝 GitHub Actions Workflow Details

Workflow File: .github/workflows/build-native.yml

macOS Build Configuration:

- host: macos-13
  target: x86_64-apple-darwin
  build: npm run build:napi -- --target x86_64-apple-darwin
  platform: darwin-x64

- host: macos-14
  target: aarch64-apple-darwin
  build: npm run build:napi -- --target aarch64-apple-darwin
  platform: darwin-arm64

Workflow Triggers:

  • Push to main branch
  • Pull requests to main
  • Manual trigger via workflow_dispatch
  • Git tags matching v*

Artifacts:

  • Name: bindings-darwin-x64
  • Name: bindings-darwin-arm64
  • Path: npm/packages/core/native/{platform}/

🎓 Key Differences: macOS vs Linux

Similarities

  • Same API (VectorDb, async methods)
  • Same package structure (index.js loader + binary)
  • Same Node.js version requirement (>= 18)
  • Similar binary size (~4.3MB)

Differences

  • Platform constraint: os: ["darwin"] (not "linux")
  • CPU variants: x64 (Intel) vs arm64 (Apple Silicon)
  • Build hosts: macOS-13 (Intel) vs macOS-14 (ARM)
  • File paths: May differ in temp directory handling

Verification Checklist

Before publishing macOS packages, verify:

  • Binary exists: ls -lh npm/core/platforms/darwin-x64/ruvector.node
  • Binary size: Should be ~4.3MB
  • npm pack shows 4 files (index.js, package.json, README.md, ruvector.node)
  • Package size: ~4.5MB unpacked, ~1.9MB compressed
  • Test script passes all 4 tests
  • Module loads without errors
  • Database operations work (insert, search, count, delete)

🚨 Important Notes

  1. Cannot build on Linux: macOS binaries must be built on macOS runners
  2. Two macOS versions needed: macos-13 for Intel, macos-14 for ARM
  3. Platform detection: npm will auto-select correct package based on os/cpu
  4. Universal binaries: Not used - separate packages for Intel and ARM
  5. Testing required: Each platform must be tested on actual hardware

📚 Next Steps

  1. Trigger GitHub Actions - Push changes to build binaries
  2. Download artifacts - Get binaries from workflow run
  3. Copy to packages - Move binaries to platform directories
  4. Verify with npm pack - Ensure binaries are included
  5. Test on macOS - Run test suite on both Intel and ARM Macs
  6. Publish to npm - Make packages available

Package Structure: Complete and ready Binary Build: Awaiting GitHub Actions workflow Testing: Pending binary availability Publishing: Pending testing completion