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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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@@ -21,13 +21,13 @@ type ObservationStore interface {
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// Recalculator periodically recalculates importance scores for observations.
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type Recalculator struct {
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log zerolog.Logger
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store ObservationStore
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calculator *Calculator
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log zerolog.Logger
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interval time.Duration
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batchSize int
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stopCh chan struct{}
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doneCh chan struct{}
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interval time.Duration
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batchSize int
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mu sync.Mutex
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running bool
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}
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@@ -16,14 +16,14 @@ import (
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// MockObservationStore is a mock implementation of ObservationStore for testing.
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type MockObservationStore struct {
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mu sync.Mutex
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observations []*models.Observation
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scores map[int64]float64
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conceptWeights map[string]float64
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updateErr error
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getErr error
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getConceptsErr error
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scores map[int64]float64
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conceptWeights map[string]float64
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observations []*models.Observation
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updateScoresCalls int
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mu sync.Mutex
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}
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func NewMockObservationStore() *MockObservationStore {
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