feat: implement always-adaptive caching with getCacheStats monitoring
Replaces lazy mode concept with always-adaptive caching strategy:
- Rename getLazyModeStats() → getCacheStats() with enhanced metrics
- Change lazyModeEnabled boolean → cachingStrategy enum ('preloaded' | 'on-demand')
- Update preloading threshold from 30% to 80% for better cache utilization
- Add comprehensive production monitoring and diagnostics
- Add memory detection for containers (Docker/K8s cgroups v1/v2)
- Add adaptive memory sizing from 2GB to 128GB+ systems
Breaking changes: None (backward compatible, deprecated lazy option ignored)
New APIs:
- getCacheStats(): Comprehensive cache performance statistics
- cachingStrategy field: Transparent strategy reporting
- Enhanced fairness metrics and memory pressure monitoring
Documentation:
- Add migration guide for v3.36.0
- Add operations/capacity-planning.md for enterprise deployments
- Update all examples and troubleshooting guides
- Rename monitor-lazy-mode.ts → monitor-cache-performance.ts
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README.md
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README.md
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@ -19,6 +19,32 @@
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## 🎉 Key Features
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### ⚡ **NEW in 3.36.0: Production-Scale Memory & Performance**
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**Enterprise-grade adaptive sizing and zero-overhead optimizations:**
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- **🎯 Adaptive Memory Sizing**: Auto-scales from 2GB to 128GB+ based on available system resources
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- Container-aware (Docker/K8s cgroups v1/v2 detection)
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- Environment-smart (development 25%, container 40%, production 50% allocation)
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- Model memory accounting (150MB Q8, 250MB FP32 reserved before cache)
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- **⚡ Sync Fast Path**: Zero async overhead when vectors are cached
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- Intelligent sync/async branching - synchronous when data is in memory
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- Falls back to async only when loading from storage
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- Massive performance win for hot paths (vector search, distance calculations)
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- **📊 Production Monitoring**: Comprehensive diagnostics
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- `getCacheStats()` - UnifiedCache hit rates, fairness metrics, memory pressure
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- Actionable recommendations for tuning
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- Tracks model memory, cache efficiency, and competition across indexes
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- **🛡️ Zero Breaking Changes**: All optimizations are internal - your code stays the same
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- Public API unchanged
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- Automatic memory detection and allocation
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- Progressive enhancement for existing applications
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**[📖 Operations Guide →](docs/operations/capacity-planning.md)** | **[🎯 Migration Guide →](docs/guides/migration-3.36.0.md)**
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### 🚀 **NEW in 3.21.0: Enhanced Import & Neural Processing**
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- **📊 Progress Tracking**: Unified progress reporting with automatic time estimation
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@ -38,7 +64,7 @@
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- **Modern Syntax**: `brain.add()`, `brain.find()`, `brain.relate()`
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- **Type Safety**: Full TypeScript integration
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- **Zero Config**: Works out of the box with memory storage
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- **Zero Config**: Works out of the box with intelligent storage auto-detection
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- **Consistent Parameters**: Clean, predictable API surface
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### ⚡ **Performance & Reliability**
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@ -352,7 +378,7 @@ const brain = new Brainy()
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// 2. Custom configuration
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const brain = new Brainy({
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storage: { type: 'memory' },
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storage: { type: 'filesystem', path: './brainy-data' },
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embeddings: { model: 'all-MiniLM-L6-v2' },
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cache: { enabled: true, maxSize: 1000 }
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})
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@ -368,7 +394,7 @@ const customBrain = new Brainy({
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**What's Auto-Detected:**
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- **Storage**: S3/GCS/R2 → Filesystem → Memory (priority order)
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- **Storage**: S3/GCS/R2 → Filesystem (priority order)
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- **Models**: Always Q8 for optimal balance
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- **Features**: Minimal → Default → Full based on environment
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- **Memory**: Optimal cache sizes and batching
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@ -390,13 +416,12 @@ Most users **never need this** - zero-config handles everything. For advanced us
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const brain = new Brainy() // Uses Q8 automatically
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// Storage control (auto-detected by default)
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const memoryBrain = new Brainy({storage: 'memory'}) // RAM only
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const diskBrain = new Brainy({storage: 'disk'}) // Local filesystem
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const diskBrain = new Brainy({storage: 'disk'}) // Local filesystem
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const cloudBrain = new Brainy({storage: 'cloud'}) // S3/GCS/R2
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// Legacy full config (still supported)
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const legacyBrain = new Brainy({
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storage: {forceMemoryStorage: true}
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storage: {type: 'filesystem', path: './data'}
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})
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```
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@ -665,12 +690,7 @@ const context = await brain.find({
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Brainy supports multiple storage backends:
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```javascript
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// Memory (default for testing)
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const brain = new Brainy({
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storage: {type: 'memory'}
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})
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// FileSystem (Node.js)
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// FileSystem (Node.js - recommended for development)
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const brain = new Brainy({
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storage: {
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type: 'filesystem',
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