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Elastic adopts more efficient approach for storing vectorized data
Published: 2024-11-11
Elastic is implementing a new approach for storing vectorized data that will require 95% less memory. Better Binary Quantization, or BBQ, is based on a technique called RaBitQ, which was developed earlier this year by researchers at Nanyang Technological University Singapore. According to Elastic, the biggest differences between BBQ and native binary quantization are that: … continue reading The post Elastic adopts more efficient approach for storing vectorized data appeared first on SD Times.