Product Quantization: Vector Compression for ANN Search › Quiz
Michael BrenndoerferJanuary 28, 20261 min read
Language AI HandbookAll chapters Part 44 of 67Retrieval-Augmented Generation
Product Quantization: Vector Compression for ANN Search › QuizOne section · Sections in this chapter12 / 12 ↓
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A 768-dimensional float32 embedding is compressed with M=8 subspaces and nbits=8. How many bytes does the compressed code occupy?