David Snelling
0fef72aa24
Major enhancements to Brainy vector + graph database: Core Features (FREE): - Cortex CLI: Complete command center for database management - Neural Import: AI-powered data understanding and entity extraction - Augmentation Pipeline: 8-stage extensible processing system - Brainy Chat: Natural language interface to query data - Performance monitoring and health diagnostics - Backup/restore with compression and encryption - Webhook system for enterprise integrations Infrastructure: - Clean separation of core (open source) and premium features - Lazy-loaded augmentations with zero performance impact - Comprehensive documentation for all new features - Full TypeScript support with proper interfaces Performance: - Zero impact on core operations (proven with benchmarks) - 2-3% performance improvement from better caching - Package size remains at 643KB (no bloat) Security: - Removed sensitive files from Git history - Added .gitignore rules for PDFs and private files - Premium features in separate private repository Premium Features (separate repository): - Quantum Vault connectors (Notion, Salesforce, Slack, Asana) - Licensing system for premium augmentations - Revenue projections and business model This commit maintains 100% backward compatibility while adding powerful enterprise features as progressive enhancements.
64 lines
No EOL
1.8 KiB
JavaScript
64 lines
No EOL
1.8 KiB
JavaScript
#!/usr/bin/env node
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// Persistent Cortex setup using filesystem
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import { Cortex } from './dist/cortex/cortex.js'
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async function setup() {
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console.log('🧠 Setting up persistent Cortex with filesystem storage...\n')
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const cortex = new Cortex()
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// Initialize with filesystem (persistent)
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await cortex.init({
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storage: 'filesystem',
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encryption: false,
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chat: true
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})
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// Add sample data
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console.log('Adding sample data...\n')
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await cortex.add('John Smith is a Senior Software Engineer at TechCorp who specializes in Python and JavaScript', {
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type: 'person',
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name: 'John Smith',
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role: 'Senior Software Engineer',
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company: 'TechCorp',
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skills: ['Python', 'JavaScript', 'React'],
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experience: 8
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})
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await cortex.add('Jane Doe is a Data Scientist at DataCo expert in Python and Machine Learning', {
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type: 'person',
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name: 'Jane Doe',
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role: 'Data Scientist',
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company: 'DataCo',
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skills: ['Python', 'TensorFlow', 'Machine Learning'],
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experience: 6
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})
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await cortex.add('Alice Chen is a Product Manager at StartupXYZ', {
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type: 'person',
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name: 'Alice Chen',
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role: 'Product Manager',
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company: 'StartupXYZ',
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skills: ['Product Strategy', 'Analytics'],
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experience: 5
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})
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await cortex.add('AI Customer Analytics Platform using machine learning', {
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type: 'project',
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name: 'Customer Analytics',
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status: 'active',
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tech: ['Python', 'TensorFlow']
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})
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console.log('\n✅ Setup complete! Data is now persistent.\n')
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console.log('Try these commands:\n')
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console.log(' node bin/cortex.js chat "Who knows Python?"')
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console.log(' node bin/cortex.js search "Python"')
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console.log(' node bin/cortex.js stats')
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console.log(' node bin/cortex.js fields')
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console.log(' node bin/cortex.js chat # Interactive mode')
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}
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setup().catch(console.error) |