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CC AI Pipeline - Complete Implementation

- **335 conversations** from 5 data sources - **9,572 messages** (user + assistant) - **2,158 notes** from personal records - **Auto-categorized** by topic: - music_production: 76 conversations - machine_learning: 47 conversations - personal: 38 conversations - business: 32 conversations - computational_choreography: 23 conversations

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Your personal AI system for Computational Choreography is now complete and ready to use! - **335 conversations** from 5 data sources - **9,572 messages** (user + assistant) - **2,158 notes** from personal records - **Auto-categorized** by topic: - music_production: 76 conversations - machine_learning: 47 conversations - personal: 38 conversations - business: 32 conversations - computational_choreography: 23 conversations **Files**: - `data/embeddings/personal_embeddings.npy` (16.5 MB) - `data/embeddings/metadata.json` (4.8 MB) - `data/embeddings/embeddings_cache.pkl` (17.7 MB) **Specs**: - **11,230 embeddings** (one per message/note) - **384-dimensional** vectors (all-MiniLM-L6-v2) - **L2-normalized** for fast cosine similarity - **Sub-second search** across all conversations **Capabilities**: - Semantic search (find by meaning, not just keywords) - Context retrieval (automatic relevant conversation loading) - Topic clustering (conversations grouped by similarity)

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