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https://github.com/lukaszraczylo/claude-mnemonic.git
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feat(leann-phase2): implement hybrid vector storage and graph-based search
- [x] Add AST-aware code chunking for Go, Python, and TypeScript using tree-sitter - [x] Implement LEANN-inspired hybrid vector storage with hub detection and selective embedding storage (60-80% savings) - [x] Add observation relationship graph with CSR format and edge detection (file overlap, semantic similarity, temporal, concept) - [x] Implement graph-aware search with two-level traversal and relationship-based ranking - [x] Add auto-tuning system for dynamic hub threshold adjustment based on query performance - [x] Add comprehensive metrics tracking for vector storage, queries, latency, and graph traversals - [x] Update configuration system with graph and hybrid storage settings - [x] Add graph stats and vector metrics endpoints to worker service - [x] Enhance UI sidebar with advanced metrics display and graph visualization - [x] Optimize struct field alignment throughout codebase for memory efficiency - [x] Update documentation with LEANN Phase 2 features and performance benefits - [x] Add tree-sitter dependency for AST parsing
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@@ -38,21 +38,15 @@ type PatternSyncFunc func(pattern *models.Pattern)
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// Detector detects and tracks recurring patterns across observations.
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type Detector struct {
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config DetectorConfig
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ctx context.Context
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patternStore *gorm.PatternStore
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observationStore *gorm.ObservationStore
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// Vector sync callback
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syncFunc PatternSyncFunc
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// Candidate tracking (patterns not yet confirmed)
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candidates map[string]*candidatePattern
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candidatesMu sync.RWMutex
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// Background analysis
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ctx context.Context
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cancel context.CancelFunc
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wg sync.WaitGroup
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syncFunc PatternSyncFunc
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candidates map[string]*candidatePattern
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cancel context.CancelFunc
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config DetectorConfig
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wg sync.WaitGroup
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candidatesMu sync.RWMutex
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}
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// SetSyncFunc sets the callback for syncing patterns to vector store.
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@@ -62,11 +56,11 @@ func (d *Detector) SetSyncFunc(fn PatternSyncFunc) {
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// candidatePattern tracks a potential pattern before it reaches frequency threshold.
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type candidatePattern struct {
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patternType models.PatternType
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title string
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signature []string
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observationIDs []int64
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projects []string
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patternType models.PatternType
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title string
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lastSeenEpoch int64
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}
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