refactor: simplify build system and improve model loading flexibility

- Remove Rollup bundling in favor of direct TypeScript compilation
- Move from bundled models to dynamic model loading with configurable paths
- Add Docker deployment examples and documentation
- Implement robust model loader with fallback mechanisms
- Update storage adapters for better cross-environment compatibility
- Add comprehensive tests for model loading and package installation
- Simplify package.json scripts and remove complex build configurations
- Clean up deprecated demo files and old bundling scripts

BREAKING CHANGE: Models are no longer bundled with the package. They are now loaded dynamically from CDN or custom paths.

examples/docker-deployment/example-app.js

@@ -0,0 +1,86 @@
+#!/usr/bin/env node
+
+/**
+ * Example Brainy application for Docker deployment
+ * Demonstrates custom models path usage
+ */
+
+import { BrainyData } from '@soulcraft/brainy'
+
+async function main() {
+  console.log('🚀 Starting Brainy Docker Example App...')
+  console.log(`Environment: ${process.env.NODE_ENV || 'development'}`)
+  console.log(`Models Path: ${process.env.BRAINY_MODELS_PATH || 'default (node_modules)'}`)
+  
+  const db = new BrainyData({
+    forceMemoryStorage: true,
+    dimensions: 512,
+    // Don't skip embeddings - let it try to load models
+    skipEmbeddings: false
+  })
+
+  try {
+    console.log('\n📊 Initializing BrainyData...')
+    await db.init()
+    console.log('✅ BrainyData initialized successfully!')
+
+    // Add some test data
+    console.log('\n📝 Adding test data...')
+    const testItems = [
+      'Artificial intelligence is transforming the world',
+      'Machine learning enables computers to learn without being explicitly programmed',
+      'Docker containers provide a consistent environment for applications',
+      'Cloud deployment makes applications scalable and reliable'
+    ]
+
+    const ids = []
+    for (const text of testItems) {
+      const id = await db.add({ content: text })
+      ids.push(id)
+      console.log(`   Added: "${text}" (ID: ${id})`)
+    }
+
+    // Search for similar content
+    console.log('\n🔍 Searching for AI-related content...')
+    const searchResults = await db.search('artificial intelligence and machine learning', 2)
+    
+    console.log(`Found ${searchResults.length} results:`)
+    searchResults.forEach((result, index) => {
+      console.log(`   ${index + 1}. "${result.content}" (Score: ${result.similarity?.toFixed(3)})`)
+    })
+
+    // Get database statistics
+    console.log('\n📈 Database Statistics:')
+    const stats = await db.getStatistics()
+    console.log(`   Total items: ${stats.totalVectors}`)
+    console.log(`   Storage type: ${stats.storageType}`)
+    console.log(`   Index type: ${stats.indexType}`)
+
+  } catch (error) {
+    console.error('❌ Error:', error.message)
+    console.error('\n💡 Troubleshooting tips:')
+    console.error('   1. Ensure models are available in BRAINY_MODELS_PATH')
+    console.error('   2. Check that @soulcraft/brainy-models is installed')
+    console.error('   3. Verify network connectivity for remote model loading')
+    process.exit(1)
+  }
+
+  console.log('\n🎉 Example completed successfully!')
+}
+
+// Handle graceful shutdown
+process.on('SIGINT', () => {
+  console.log('\n👋 Shutting down gracefully...')
+  process.exit(0)
+})
+
+process.on('SIGTERM', () => {
+  console.log('\n👋 Received SIGTERM, shutting down...')
+  process.exit(0)
+})
+
+// Run the example
+main().catch(error => {
+  console.error('Fatal error:', error)
+  process.exit(1)
+})