brainy/docs/CREATING-AUGMENTATIONS.md

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🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
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# Creating Augmentations for Brainy
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
> **Updated for v4.0.0** - Includes metadata structure changes and type system improvements
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
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## The BrainyAugmentation Interface
Every augmentation implements this simple yet powerful interface:
```typescript
interface BrainyAugmentation {
// Identification
name: string // Unique name for your augmentation
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
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// Execution control
timing: 'before' | 'after' | 'around' | 'replace' // When to execute
operations: string[] // Which operations to intercept
priority: number // Execution order (higher = first)
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
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// Lifecycle methods
initialize(context: AugmentationContext): Promise<void>
execute<T>(operation: string, params: any, next: () => Promise<T>): Promise<T>
shutdown?(): Promise<void> // Optional cleanup
}
```
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
## v4.0.0 Breaking Changes for Augmentation Developers
### 1. Metadata Structure Separation
v4.0.0 introduces strict metadata/vector separation for billion-scale performance:
```typescript
// ✅ v4.0.0: Metadata has required type field
interface NounMetadata {
noun: NounType // Required! Must be a valid noun type
[key: string]: any // Your custom metadata
}
interface VerbMetadata {
verb: VerbType // Required! Must be a valid verb type
sourceId: string
targetId: string
[key: string]: any
}
```
### 2. Storage Adapter Return Types
Storage adapters now return different types at different boundaries:
```typescript
// Internal methods: Pure structures (no metadata)
abstract _getNoun(id: string): Promise<HNSWNoun | null>
// Public API: WithMetadata structures
abstract getNoun(id: string): Promise<HNSWNounWithMetadata | null>
```
### 3. Verb Property Renamed
The verb relationship field changed from `type` to `verb`:
```typescript
// ❌ v3.x
verb.type === 'relatedTo'
// ✅ v4.0.0
verb.verb === 'relatedTo'
```
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
## Creating a Storage Augmentation
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
Storage augmentations are special - they provide the storage backend for Brainy.
### Important: v4.0.0 Storage Requirements
Your storage adapter MUST:
1. **Wrap metadata** with required `noun`/`verb` fields
2. **Return pure structures** from internal `_methods`
3. **Return WithMetadata types** from public methods
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
```typescript
import { StorageAugmentation } from 'brainy/augmentations'
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
import { BaseStorageAdapter, HNSWNoun, HNSWNounWithMetadata, NounMetadata } from 'brainy'
export class MyCustomStorage extends BaseStorageAdapter {
// Internal method: Returns pure structure
async _getNoun(id: string): Promise<HNSWNoun | null> {
const data = await this.fetchFromDatabase(id)
return data ? {
id: data.id,
vector: data.vector,
nounType: data.type
} : null
}
// Public method: Returns WithMetadata structure
async getNoun(id: string): Promise<HNSWNounWithMetadata | null> {
const noun = await this._getNoun(id)
if (!noun) return null
// Fetch metadata separately (v4.0.0 pattern)
const metadata = await this.getNounMetadata(id)
return {
...noun,
metadata: metadata || { noun: noun.nounType || 'thing' }
}
}
// CRITICAL: Always save with proper metadata structure
async saveNoun(noun: HNSWNoun, metadata?: NounMetadata): Promise<void> {
// Validate metadata has required 'noun' field
if (!metadata?.noun) {
throw new Error('v4.0.0: NounMetadata requires "noun" field')
}
await this.database.save({
id: noun.id,
vector: noun.vector,
nounType: noun.nounType,
metadata: metadata // Stored separately in v4.0.0
})
}
}
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
export class MyStorageAugmentation extends StorageAugmentation {
private config: MyStorageConfig
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
constructor(config: MyStorageConfig) {
super()
this.name = 'my-custom-storage'
this.config = config
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
// Called during storage resolution phase
async provideStorage(): Promise<StorageAdapter> {
const storage = new MyCustomStorage(this.config)
this.storageAdapter = storage
return storage
}
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
// Called during augmentation initialization
protected async onInitialize(): Promise<void> {
await this.storageAdapter!.init()
this.log(`Custom storage initialized`)
}
}
```
### Using Your Storage Augmentation
```typescript
// Register before brain.init()
const brain = new Brainy()
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
brain.augmentations.register(new MyStorageAugmentation({
connectionString: 'redis://localhost:6379'
}))
await brain.init() // Will use your storage!
```
## Creating a Feature Augmentation
Here's a complete example of a caching augmentation:
```typescript
import { BaseAugmentation, BrainyAugmentation } from 'brainy/augmentations'
export class CachingAugmentation extends BaseAugmentation {
private cache = new Map<string, any>()
constructor() {
super()
this.name = 'smart-cache'
this.timing = 'around' // Wrap operations
this.operations = ['search'] // Only cache searches
this.priority = 50 // Mid-priority
}
async execute<T>(operation: string, params: any, next: () => Promise<T>): Promise<T> {
if (operation === 'search') {
// Check cache
const cacheKey = JSON.stringify(params)
if (this.cache.has(cacheKey)) {
this.log('Cache hit!')
return this.cache.get(cacheKey)
}
// Execute and cache
const result = await next()
this.cache.set(cacheKey, result)
return result
}
// Pass through other operations
return next()
}
protected async onInitialize(): Promise<void> {
this.log('Cache initialized')
}
async shutdown(): Promise<void> {
this.cache.clear()
await super.shutdown()
}
}
```
## The Four Timing Modes
### 1. `before` - Pre-processing
```typescript
timing = 'before'
async execute(op, params, next) {
// Validate/transform input
const validated = await validate(params)
return next(validated) // Pass modified params
}
```
### 2. `after` - Post-processing
```typescript
timing = 'after'
async execute(op, params, next) {
const result = await next()
// Log, analyze, or modify result
console.log(`Operation ${op} returned:`, result)
return result
}
```
### 3. `around` - Wrapping (middleware)
```typescript
timing = 'around'
async execute(op, params, next) {
console.log('Starting', op)
try {
const result = await next()
console.log('Success', op)
return result
} catch (error) {
console.log('Failed', op, error)
throw error
}
}
```
### 4. `replace` - Complete replacement
```typescript
timing = 'replace'
async execute(op, params, next) {
// Don't call next() - replace entirely!
return myCustomImplementation(params)
}
```
## Operations You Can Intercept
Common operations in Brainy:
- `'storage'` - Storage resolution (special)
- `'add'` - Adding data
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
- `'search'`, `'similar'` - Searching
- `'update'`, `'delete'` - Modifications
- `'saveNoun'`, `'saveVerb'` - Storage operations
- `'all'` - Intercept everything
## Context Available to Augmentations
```typescript
interface AugmentationContext {
brain: Brainy // The brain instance
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
storage: StorageAdapter // Storage backend
config: BrainyConfig // Configuration
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
log: (message: string, level?: 'info' | 'warn' | 'error') => void
}
```
## Real-World Examples
### 1. Redis Storage Augmentation
```typescript
export class RedisStorageAugmentation extends StorageAugmentation {
async provideStorage(): Promise<StorageAdapter> {
return new RedisAdapter({
host: 'localhost',
port: 6379,
// Implement full StorageAdapter interface
})
}
}
```
### 2. Audit Trail Augmentation
```typescript
export class AuditAugmentation extends BaseAugmentation {
timing = 'after'
operations = ['add', 'update', 'delete']
async execute(op, params, next) {
const result = await next()
// Log to audit trail
await this.logAudit({
operation: op,
params,
result,
timestamp: new Date(),
user: this.context.config.currentUser
})
return result
}
}
```
### 3. Rate Limiting Augmentation
```typescript
export class RateLimitAugmentation extends BaseAugmentation {
timing = 'before'
operations = ['search']
private limiter = new RateLimiter({ rps: 100 })
async execute(op, params, next) {
await this.limiter.acquire() // Wait if rate limited
return next()
}
}
```
## Publishing to Brain Cloud Marketplace
Future capability for premium augmentations:
```typescript
// package.json
{
"name": "@brain-cloud/redis-storage",
"brainy": {
"type": "augmentation",
"category": "storage",
"premium": true
}
}
// Users can install via:
// brainy augment install redis-storage
```
## Best Practices
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
### General Practices
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
1. **Use BaseAugmentation** - Provides common functionality
2. **Set appropriate priority** - Storage (100), System (80-99), Features (10-50)
3. **Be selective with operations** - Don't use 'all' unless necessary
4. **Handle errors gracefully** - Don't break the chain
5. **Clean up in shutdown()** - Release resources
6. **Log appropriately** - Use context.log() for consistent output
7. **Document your augmentation** - Include examples
feat(v4.0.0): Complete metadata/vector separation architecture with Azure support This commit completes the core v4.0.0 architecture changes for billion-scale performance with metadata/vector separation. NO RELEASE YET - remaining optimizations and testing required before production release. ## Core v4.0.0 Architecture Changes ### Type System Updates - Fixed all TypeScript compilation errors (zero errors achieved) - Updated HNSWNoun/HNSWVerb to separate core fields from metadata - Implemented HNSWNounWithMetadata/HNSWVerbWithMetadata for API boundaries - Added required 'noun' field to NounMetadata for semantic structure - Renamed verb.type to verb.verb for consistency ### Storage Adapter Updates **All adapters updated for v4.0.0 two-file storage pattern:** - memoryStorage: Proper metadata/vector separation - fileSystemStorage: Two-file pattern with sharding - opfsStorage: Browser persistent storage updated - s3CompatibleStorage: AWS/MinIO/DigitalOcean support - r2Storage: Cloudflare R2 optimization - gcsStorage: Google Cloud with ADC support - **azureBlobStorage: NEW - Full Azure Blob Storage support** ### Storage Features - BaseStorage: Internal vs public method separation (_getNoun vs getNoun) - Two-file storage: Vectors in one file, metadata in another - Change tracking: getChangesSince return type updated - Pagination: getNounsWithPagination returns WithMetadata types ### Azure Blob Storage Integration (NEW) - Native @azure/storage-blob SDK integration - Four authentication methods: * DefaultAzureCredential (Managed Identity) - recommended * Connection String - simplest setup * Account Name + Key - traditional auth * SAS Token - delegated access - High-volume mode with write buffering - Adaptive backpressure for throttling - UUID-based sharding for billion-scale - Full HNSW support with graph persistence ### Utility Updates - EmbeddingManager: Updated to accept Record<string, unknown> - LSMTree: Wrapped data in NounMetadata structure with 'noun' field - EntityIdMapper: Fixed nested metadata.data structure access - MetadataIndex: Fixed field type inference integration - PeriodicCleanup: Updated for new metadata structure ### Core API Updates - Brainy: Updated verb property access from v.type to v.verb - ConfigAPI: Fixed NounMetadata access patterns - DataAPI: Updated metadata handling ### Documentation Updates - CREATING-AUGMENTATIONS.md: v4.0.0 breaking changes guide - DEVELOPER-GUIDE.md: Migration checklist and examples - COMPLETE-REFERENCE.md: v4.0.0 architecture improvements - **finite-type-system.md: NEW - Revolutionary type system benefits** ### Build & Dependencies - Zero TypeScript compilation errors - Added @azure/storage-blob and @azure/identity - 591 tests passing (23 timeout in long-running neural tests) ## What's NOT in This Release This is a work-in-progress commit. Before v4.0.0 release we need: - Storage adapter optimizations (batch operations, compression) - Azure blob tier management (Hot/Cool/Archive) - Cost optimization implementations - Additional performance testing at billion-scale - Migration guides for v3.x users ## Testing - Clean build: ✅ - Type checking: ✅ (zero errors) - Test suite: ✅ (591/614 passing, timeouts in neural tests only) 🔐 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 12:29:27 -07:00
### v4.0.0 Specific Best Practices
8. **Always include `noun` field** when creating/modifying NounMetadata:
```typescript
const metadata: NounMetadata = {
noun: 'thing', // REQUIRED!
yourField: 'value'
}
```
9. **Use `verb` property** not `type` when working with relationships:
```typescript
// ✅ Correct
if (verb.verb === 'relatedTo') { ... }
// ❌ Wrong (v3.x pattern)
if (verb.type === 'relatedTo') { ... }
```
10. **Access metadata correctly** from storage:
```typescript
// ✅ Correct - metadata is already structured
const nounType = noun.metadata.noun
// ⚠️ Fallback pattern for robustness
const nounType = noun.metadata?.noun || 'thing'
```
11. **Respect the two-file storage pattern** - Don't mix vector and metadata operations:
```typescript
// ✅ Good - Separate concerns
await storage.saveNoun(noun)
await storage.saveMetadata(noun.id, metadata)
// ❌ Bad - Mixing concerns
await storage.saveNounWithEverything(combinedData)
```
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
## Testing Your Augmentation
```typescript
import { Brainy } from 'brainy'
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
import { MyAugmentation } from './my-augmentation'
describe('MyAugmentation', () => {
let brain: Brainy
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
beforeEach(async () => {
brain = new Brainy()
🧠 Brainy 2.0.0 - Zero-Configuration AI Database with Triple Intelligence™ MAJOR RELEASE: Complete evolution of Brainy with groundbreaking features and performance. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ Triple Intelligence™ Engine - Unified Vector + Metadata + Graph search - O(log n) performance on all operations - 3ms average search latency at any scale ✨ API Consolidation - 15+ search methods → 2 clean APIs - search() for vector similarity - find() for natural language queries ✨ Natural Language Processing - 220+ pre-computed NLP patterns - Instant context understanding - "Show me recent React components with tests" ✨ Zero Configuration - Works instantly, no setup required - Built-in embedding models (no API keys) - Smart defaults for everything - Automatic optimization ✨ Enterprise Features (Free for Everyone) - Scales to 10M+ items - Write-Ahead Logging (WAL) for durability - Distributed architecture with sharding - Read/write separation - Connection pooling & request deduplication - Built-in monitoring & health checks ✨ Universal Compatibility - Node.js, Browser, Edge Workers - 4 Storage Adapters (Memory, FileSystem, OPFS, S3) - TypeScript with full type safety - Worker-based embeddings 📦 WHAT'S INCLUDED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Core AI Database with HNSW indexing • 19 Production-ready augmentations • Universal Memory Manager • Complete CLI with all commands • Brain Cloud integration (soulcraft.com) • Comprehensive documentation • 52 test files with 400+ tests • Migration guide from 1.x 📊 PERFORMANCE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Initialize: 450ms (24MB memory) • Search: 3ms average (up to 10M items) • Metadata Filter: 0.8ms (O(log n)) • Bulk Import: 2.3s per 1000 items • Production Scale: 5.8ms at 10M items 🔧 TECHNICAL IMPROVEMENTS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • TypeScript compilation: 153 errors → 0 • Memory usage: 200MB → 24MB baseline • Circular dependencies resolved • Worker thread communication fixed • Storage adapter consistency • Request coalescing for 3x performance 🛠️ CLI FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • brainy add - Smart data ingestion • brainy find - Natural language search • brainy search - Vector similarity • brainy chat - AI conversation mode • brainy cloud - Brain Cloud integration • brainy augment - Manage extensions • 100% API compatibility 📚 DOCUMENTATION: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Professional README with examples • Quick Start guide (5 minutes) • Enterprise Features guide • Migration guide from 1.x • API reference • Architecture documentation 🌟 USE CASES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • AI memory layer for chatbots • Semantic document search • Code intelligence platforms • Knowledge management systems • Real-time recommendation engines • Customer support automation MIT License - Enterprise features included free for everyone. No premium tiers, no paywalls, no limits. Built with ❤️ by the Brainy community. Visit https://soulcraft.com for Brain Cloud integration.
2025-08-26 12:32:21 -07:00
brain.augmentations.register(new MyAugmentation())
await brain.init()
})
afterEach(async () => {
await brain.destroy()
})
it('should enhance searches', async () => {
// Test your augmentation's effect
const results = await brain.search('test')
expect(results).toHaveProperty('enhanced', true)
})
})
```
## Summary
Augmentations are Brainy's extension system. They can:
- Replace storage backends
- Add caching layers
- Implement audit trails
- Add rate limiting
- Sync with external systems
- Transform data
- And much more!
The unified BrainyAugmentation interface makes it easy to create powerful extensions while maintaining consistency across the entire system.