Elastic announces faster filtered vector search with acorn-1 and default better binary quantization compression

San francisco--(business wire)--elastic (nyse: estc), the search ai company, announced new performance and cost-efficiency breakthroughs with two significant enhancements to its vector search. users now benefit from acorn, a smart filtering algorithm, in addition to better binary quantization (bbq) as the default for high-dimensional dense vectors. these capabilities improve both query performance and ranking quality, providing developers with new tools to build scalable, high-performance ai ap.
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