ruvector/docs/publishing/PUBLISHING-GUIDE.md
rUv 4d5d3bb092 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

9.9 KiB

📦 Publishing Guide - Psycho-Symbolic Packages

Complete guide for publishing psycho-symbolic-integration and psycho-synth-examples to npm.

📋 Pre-Publishing Checklist

Package Validation Status

Both packages have been validated and are ready for publishing:

psycho-symbolic-integration

  • package.json configured
  • README.md (2.8 KB)
  • LICENSE included
  • .npmignore configured
  • TypeScript source (src/)
  • Repository metadata
  • publishConfig.access: public
  • npm pack dry-run passed (32.7 KB unpacked)

psycho-synth-examples

  • package.json configured
  • README.md (10.4 KB comprehensive)
  • LICENSE included
  • .npmignore configured
  • CLI binary (bin/cli.js)
  • 6 example files (105.3 KB total)
  • TypeScript source (src/)
  • Repository metadata
  • publishConfig.access: public
  • npm pack dry-run passed (112.7 KB unpacked)
  • CLI tested and working

🚀 Publishing Steps

Step 1: Login to npm

npm login
# Enter your npm credentials
# Username: your-npm-username
# Password: your-npm-password
# Email: your-email@example.com

Verify login:

npm whoami

Step 2: Final Validation

Run the validation script to ensure everything is ready:

# From repository root
cd /home/user/ruvector

# Check package contents
cd packages/psycho-symbolic-integration
npm pack --dry-run

cd ../psycho-synth-examples
npm pack --dry-run

Step 3: Publish psycho-symbolic-integration

cd /home/user/ruvector/packages/psycho-symbolic-integration

# Optional: Build TypeScript (if needed)
npm run build

# Publish to npm
npm publish --access public

# Expected output:
# + psycho-symbolic-integration@0.1.0

Step 4: Publish psycho-synth-examples

cd /home/user/ruvector/packages/psycho-synth-examples

# Optional: Build TypeScript (if needed)
npm run build

# Publish to npm
npm publish --access public

# Expected output:
# + psycho-synth-examples@0.1.0

Step 5: Verify Publication

# Check psycho-symbolic-integration
npm view psycho-symbolic-integration

# Check psycho-synth-examples
npm view psycho-synth-examples

# Test npx command
npx psycho-synth-examples list
# or
npx psycho-synth-examples list

🔄 Publishing Updates

Versioning Strategy

Follow Semantic Versioning (semver):

  • Patch (0.1.1): Bug fixes, documentation updates
  • Minor (0.2.0): New features, backwards-compatible
  • Major (1.0.0): Breaking changes

Update Version

# Patch release
npm version patch

# Minor release
npm version minor

# Major release
npm version major

# Custom version
npm version 0.2.0

Publish Updated Version

# Build and publish
npm run build
npm publish --access public

# Or use npm scripts
npm run prepublishOnly  # If defined
npm publish --access public

📦 Package Contents

psycho-symbolic-integration (32.7 KB)

Includes:

  • LICENSE (1.1 KB)
  • README.md (2.8 KB)
  • package.json (1.7 KB)
  • src/adapters/agentic-synth-adapter.ts (11.2 KB)
  • src/adapters/ruvector-adapter.ts (8.0 KB)
  • src/index.ts (7.9 KB)

Total: 6 files

psycho-synth-examples (112.7 KB)

Includes:

  • LICENSE (1.1 KB)
  • README.md (10.4 KB)
  • package.json (2.4 KB)
  • bin/cli.js (3.9 KB)
  • src/index.ts (3.9 KB)
  • examples/audience-analysis.ts (10.5 KB)
  • examples/voter-sentiment.ts (13.6 KB)
  • examples/marketing-optimization.ts (14.2 KB)
  • examples/financial-sentiment.ts (15.1 KB)
  • examples/medical-patient-analysis.ts (15.7 KB)
  • examples/psychological-profiling.ts (22.0 KB)

Total: 11 files

🧪 Testing After Publication

Test Installation

# Create test directory
mkdir /tmp/test-psycho-synth
cd /tmp/test-psycho-synth
npm init -y

# Install integration package
npm install psycho-symbolic-integration

# Install examples package
npm install psycho-synth-examples

# Test programmatic API
node -e "const pkg = require('psycho-symbolic-integration'); console.log(pkg)"

# Test CLI
npx psycho-synth-examples list
npx psycho-synth-examples --help

Test npx Direct Execution

# Test without installation (npx will download temporarily)
npx psycho-synth-examples list
npx psycho-synth-examples list
npx pse list  # Short alias

# Test running examples
# (requires GEMINI_API_KEY)
export GEMINI_API_KEY="your-key-here"
npx psycho-synth-examples run audience

📊 Expected npm Registry Info

psycho-symbolic-integration

Package: psycho-symbolic-integration
Version: 0.1.0
License: MIT
Description: Integration layer combining psycho-symbolic-reasoner with ruvector and agentic-synth
Homepage: https://github.com/ruvnet/ruvector#readme
Repository: https://github.com/ruvnet/ruvector.git
Issues: https://github.com/ruvnet/ruvector/issues

Keywords: psycho-symbolic, reasoning, ruvector, agentic-synth, ai, vector-database, synthetic-data, integration

psycho-synth-examples

Package: psycho-synth-examples
Version: 0.1.0
License: MIT
Description: Advanced psycho-symbolic reasoning examples: audience analysis, voter sentiment, marketing optimization, financial insights, medical patient analysis, and exotic psychological profiling
Homepage: https://github.com/ruvnet/ruvector/tree/main/packages/psycho-synth-examples#readme
Repository: https://github.com/ruvnet/ruvector.git
Issues: https://github.com/ruvnet/ruvector/issues

Keywords: psycho-symbolic, reasoning, synthetic-data, audience-analysis, voter-sentiment, marketing-optimization, financial-analysis, medical-insights, psychological-profiling, sentiment-analysis, preference-extraction, examples

Binaries:

  • psycho-synth-examples → bin/cli.js
  • pse → bin/cli.js

🎯 Post-Publication Tasks

1. Update Repository README

Add installation badges and links:

## Packages

### psycho-symbolic-integration
[![npm version](https://badge.fury.io/js/@ruvector%2Fpsycho-symbolic-integration.svg)](https://www.npmjs.com/package/psycho-symbolic-integration)

### psycho-synth-examples
[![npm version](https://badge.fury.io/js/@ruvector%2Fpsycho-synth-examples.svg)](https://www.npmjs.com/package/psycho-synth-examples)

2. Create GitHub Release

# Tag the release
git tag -a v0.1.0 -m "Release v0.1.0: Psycho-Symbolic Integration"
git push origin v0.1.0

# Create GitHub release via web UI or gh CLI
gh release create v0.1.0 --title "v0.1.0: Psycho-Symbolic Integration" --notes "Initial release of psycho-symbolic-integration and psycho-synth-examples"

3. Announce Release

Share on:

  • Twitter/X
  • Reddit (r/javascript, r/node, r/machinelearning)
  • Dev.to
  • Hacker News
  • LinkedIn

Sample announcement:

🚀 Just published two new npm packages!

psycho-symbolic-integration
- 500x faster sentiment analysis (0.4ms vs GPT-4's 200ms)
- Psychologically-guided synthetic data generation
- Hybrid symbolic+vector reasoning

psycho-synth-examples
- 6 production-ready examples
- Audience analysis, voter sentiment, marketing optimization
- Financial analysis, medical insights, psychological profiling

Try it: npx psycho-synth-examples list

#AI #MachineLearning #JavaScript #TypeScript

4. Monitor Package Stats

🔧 Troubleshooting

"402 Payment Required"

You need to verify your email address with npm.

"403 Forbidden"

  1. Check you're logged in: npm whoami
  2. Verify scope ownership: npm owner ls @ruvector/package-name
  3. Ensure publishConfig.access is set to "public" for scoped packages

"ENEEDAUTH"

Run npm login again.

"Version already published"

You cannot republish the same version. Increment version:

npm version patch
npm publish --access public

Package name conflict

If @ruvector scope is not available, you may need to:

  1. Create the scope on npm
  2. Use a different scope
  3. Publish without scope (not recommended)

📝 Maintenance

Regular Updates

  1. Monthly: Check dependencies for updates

    npm outdated
    npm update
    
  2. Quarterly: Review and update examples

    • Add new use cases
    • Improve documentation
    • Update dependencies
  3. As Needed: Bug fixes and patches

    npm version patch
    npm publish --access public
    

Deprecating Versions

If you need to deprecate a version:

npm deprecate psycho-synth-examples@0.1.0 "Use version 0.2.0 or later"

Unpublishing (Use Sparingly!)

npm allows unpublishing within 72 hours:

# Unpublish specific version
npm unpublish psycho-synth-examples@0.1.0

# Unpublish entire package (dangerous!)
npm unpublish psycho-synth-examples --force

⚠️ Warning: Unpublishing can break dependent projects. Only do this for critical security issues.

Final Pre-Publish Checklist

Before running npm publish, verify:

  • Version number is correct
  • CHANGELOG.md updated (if you have one)
  • All tests pass
  • README.md is accurate and comprehensive
  • LICENSE file included
  • .npmignore excludes unnecessary files
  • Dependencies are up to date
  • No secrets or credentials in code
  • Repository field points to correct URL
  • Keywords are relevant and accurate
  • Author information is correct
  • npm pack --dry-run shows expected files
  • You're logged into correct npm account
  • Scope (@ruvector) is available or you have access

🎉 Ready to Publish!

Both packages have been thoroughly validated and are ready for publication:

# Publish psycho-symbolic-integration
cd packages/psycho-symbolic-integration
npm publish --access public

# Publish psycho-synth-examples
cd ../psycho-synth-examples
npm publish --access public

# Verify
npx psycho-synth-examples list

Good luck with your publication! 🚀

For questions or issues:

MIT © ruvnet