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Nitin Kanukolanu
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‎python-recipes/vector-search/06_hnsw_to_svs_vamana_migration.ipynb‎

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"text": [
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"🔄 Generating embeddings for movie descriptions...\n",
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"12:16:47 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n",
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"12:16:47 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n"
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"14:40:35 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n",
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"14:40:35 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n"
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "8b902d9279da4d269fbc39848a8f6240",
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"model_id": "dfa2af21d4904b58845f57a9786706e3",
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"text": [
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"🔍 Testing HNSW search quality...\n",
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"HNSW search completed in 0.011 seconds\n"
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"HNSW search completed in 0.007 seconds\n"
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"🔍 Testing SVS-VAMANA search quality...\n",
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"SVS-VAMANA search completed in 0.008 seconds\n"
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"SVS-VAMANA search completed in 0.006 seconds\n"
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"Recall@10: 0.990 (99.0%)\n",
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"\n",
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"⏱️ Performance Comparison:\n",
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"HNSW query time: 0.011s (1.1ms per query)\n",
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"SVS-VAMANA query time: 0.008s (0.8ms per query)\n",
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"Speed difference: +23.0%\n",
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"HNSW query time: 0.007s (0.7ms per query)\n",
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"SVS-VAMANA query time: 0.006s (0.6ms per query)\n",
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"Speed difference: +10.4%\n",
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"🎯 Quality Assessment: 🟢 Excellent - Minimal quality loss\n"
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