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#040 Vector Database Quantization, Product, Binary, and Scalar

How AI Is Built

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Understanding Vector Quantization in Databases

This chapter explores the trade-offs of vector quantization techniques in vector databases, focusing on speed, memory usage, and recall accuracy. It discusses various methods such as binary and Matryoshka embeddings, highlighting their implications for efficient data representation and retrieval.

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