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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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{
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"name": "claude-mnemonic-dashboard",
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"version": "8fe9ea5-dirty",
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"version": "v0.10.5-1-g7ab4b07-dirty",
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"private": true,
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"type": "module",
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"scripts": {
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