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Define data structure clearly
Specify JSON format, CSV columns, or data schemas
Mention specific libraries
PyTorch, TensorFlow, Scikit-learn for targeted solutions
Clarify theory vs. production
Specify if you need concepts or deployment-ready code
Use ChromaDB for local vector storage. Setup: 1. Initialize persistent client. 2. Create collections with metadata. 3. Add documents with embeddings. 4. Query with similarity search. 5. Filter by metadata. 6. Update and delete operations. 7. Multiple embedding functions. 8. Export/import collections. Runs entirely local, no API needed. Use for privacy-sensitive applications.