GitBucket
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feat: Remove LLM dependencies and integrate HNSW-based ANN for faster/stable search
- Removed llama-server, GGUF models, and heavy LLM DLLs. - Cleaned up build.rs and tauri.conf.json to lightweight the build. - Integrated hnsw_rs in mcp.rs for high-performance semantic search. - Improved LSA robustness for unknown words. - Reclaimed approx 3GB of workspace space. |
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| journals/20260219-0006-非LLM検索移行.md 0 → 100644 |
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| journals/20260219-0007-ベクトル次元最適化とsqlite-vec統合.md 0 → 100644 |
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| journals/20260219-0008-起動時ベクトル自動同期実装.md 0 → 100644 |
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| journals/20260219-0009-純RustによるSVD実装とLSA精度向上.md 0 → 100644 |
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| journals/20260219-0010-LSA検索精度向上とスマート同期の実装.md 0 → 100644 |
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| journals/20260220-0001-LSA課題分析とANNライブラリ検討.md 0 → 100644 |
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| journals/20260220-0002-LLM排除とHNSW統合による検索強化.md 0 → 100644 |
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| src-tauri/Cargo.lock |
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| src-tauri/Cargo.toml |
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| src-tauri/build.rs |
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| src-tauri/src/bin/rebuild_vecs.rs 100644 → 0 |
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| src-tauri/src/lib.rs |
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| src-tauri/src/mcp.rs |
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| src-tauri/src/utils/lsa.rs |
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| src-tauri/tauri.conf.json |
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| src/index.html |
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| telos.db 0 → 100644 |
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