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feat: complete turbovec search backend integration, ignore tvim file in git, and stabilize mobile UI transitions
603ead8
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feat: implement Search Architecture V3 (Hybrid search with Qwen query transformation, batch embeddings, batch Qdrant searches, and optimized CPU reranking)
c6f014f
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feat: markdown rendering for AI responses
0f2c05e -
refactor: clean legacy, sync deps, add embedding cache, split RAGService, split search_service, add tests
1. Clean legacy: removed legacy/, scratch/, test_clean/, __pycache__/, artifacts/, root-level junk (gitignored) 2. Sync requirements: deleted stale root requirements.txt, added pytest 3. Embedding LRU cache: OrderedDict 256 entries in RAGService._get_embedding 4. RAGService refactor: __init__ -> _init_qdrant, _init_qdrant_local, _init_qdrant_server 5. Split search_service.py: extracted pali_utils.py (516->249 lines) 6. Test infra: 3 test files (260 lines) with pytestcb7868a