Intelligent Indexing System

[ProjectLiminality]

Description

Background indexing system with intelligent incremental updates for DreamNode content. Implements git-integrated indexing pipeline that automatically maintains vector embeddings as DreamNodes are created, modified, or updated.

Parent Specification: #268 - Search Architecture Specification

Implementation Plan

Architecture Integration

1. IndexingService Creation (src/services/indexing-service.ts) ✅

• Create IIndexingService interface following existing service pattern
• Implement IndexingService class with cross-session persistence via InterBrain store
• Store vector embeddings and indexing metadata in persisted store
• Hook into existing GitDreamNodeService.checkGitStatus() for change detection

2. Store Enhancement (src/store/interbrain-store.ts) ✅

• Add indexing state: indexingState, vectorData, indexingProgress
• Include vector embeddings in persisted store data
• Track progress for batch operations

3. Service Manager Integration ✅

• Initialize and manage IndexingService instance
• Handle indexing across mock/real mode transitions
• Coordinate between DreamNode CRUD operations and indexing updates

4. Git Integration Hooks ✅

• Trigger indexing on GitDreamNodeService.create()
• Extend refreshGitStatus() to trigger re-indexing on commit detection
• Use git commit hashes for delta detection

5. Command Palette Commands ✅

• interbrain:index-selected-node - Index currently selected DreamNode
• interbrain:index-all-nodes - Full reindex of all DreamNodes
• interbrain:intelligent-reindex - Delta-based intelligent update (primary command)

Vector Storage Structure ✅

interface VectorData {
  nodeId: string;
  contentHash: string;  // Git commit hash for change detection
  embedding: number[];  // Vector embedding
  lastIndexed: number;  // Timestamp
  metadata: {
    title: string;
    type: 'dream' | 'dreamer';
    wordCount: number;
  };
}

Implementation Phases ✅

1. Core Infrastructure: IndexingService, store integration, basic storage
2. Git Integration: Creation hooks, commit detection, delta algorithm
3. Service Manager: Lifecycle management, mode switching, CRUD coordination
4. Performance & UX: Background processing, progress indicators, error handling

Acceptance Criteria

• Command-based indexing system with progress indicators
• Git integration for automatic re-indexing on DreamNode changes
• Incremental updates for optimal performance (only changed nodes)
• Multi-content-type indexing pipeline (text + future image support)
• Background operation with no UX blocking
• Intelligent change detection via git hooks and file monitoring

Dependencies

• Parent specification Search Architecture Specification #268 must be approved
• Qwen3-Embedding-0.6B model integration (deferred - using simple text analysis initially)
• Vectra vector database setup (deferred - using in-memory storage initially)

Definition of Done

• Implementation complete
• Tests passing
• Documentation updated
• Code reviewed and merged
• Git hooks integrated for automatic indexing triggers
• Performance benchmarked for incremental vs full indexing

Technical Notes

• Integration with existing service layer pattern (mock/real implementations)
• Cross-session persistence via Zustand store middleware
• Path of least resistance: Start with intelligent re-index command, then automate
• Scale target: Thousands of DreamNodes
• Storage: InterBrain store with persistent memory middleware

Implementation Complete ✅

Key Features Delivered:

• Complete IndexingService with interface-based architecture
• Cross-session vector data persistence via Zustand store
• Three command palette commands with async operation patterns
• Automatic indexing on DreamNode creation
• Git-based change detection using commit hashes
• Intelligent delta updates with cleanup of deleted nodes
• Comprehensive test suite (22 tests) covering all functionality
• Character frequency-based embeddings (placeholder for future Qwen3 integration)

Files Modified:

• src/services/indexing-service.ts (new) - Core indexing functionality
• src/store/interbrain-store.ts - Added vector data storage
• src/main.ts - Added three indexing commands
• src/services/git-dreamnode-service.ts - Auto-indexing integration
• src/services/service-manager.ts - IndexingService registration
• src/services/ui-service.ts - Added showWarning method
• src/types/dreamnode.ts - Enhanced GitStatus interface
• tests/services/indexing-service.test.ts (new) - Complete test coverage

Ready for merge to epic branch.

[ProjectLiminality]

✅ Feature Implementation Complete

The Intelligent Indexing System has been successfully implemented and merged to the epic branch.

📊 Implementation Summary

Core Infrastructure Delivered:

• ✅ Complete IndexingService with interface-based architecture
• ✅ Cross-session vector data persistence via Zustand store
• ✅ Three command palette commands with progress indicators
• ✅ Automatic indexing integration with DreamNode creation
• ✅ Git-based intelligent change detection using commit hashes
• ✅ Delta-based updates with cleanup of deleted nodes
• ✅ Comprehensive test suite (22 tests, 123 total tests passing)

Technical Achievements:

• ✅ Character frequency-based embeddings (foundation for future Qwen3 integration)
• ✅ Non-blocking async operations with proper command palette UX
• ✅ Mock/Real mode compatibility with unified node access patterns
• ✅ Progress tracking with 20% interval notifications
• ✅ Error handling with graceful fallbacks

Files Delivered:

• (446 lines) - Complete indexing functionality
• (483 lines) - Comprehensive test coverage
• Enhanced 6 existing files with integrations and new capabilities

🚀 Ready for Next Phase

The indexing foundation is complete and ready for the next Epic 5 features:

• Semantic search interface
• Query processing with embeddings
• Similarity calculations and ranking
• Search results UI

Branch Status: Merged to ✅
Tests: All 123 tests passing ✅
Quality Check: Lint and typecheck clean ✅