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Elastic Announces Faster Filtered Vector Search with ACORN-1 and Default Better Binary Quantization Compression

1. Elastic (ESTC) announces breakthroughs in vector search performance and efficiency. 2. New algorithms enhance query performance and ranking quality for developers.

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FAQ

Why Bullish?

Enhanced AI solutions can attract more users, driving revenue growth, similar to past performance boosts from product innovations.

How important is it?

The advancements presented directly relate to ESTC's core business and may enhance market position.

Why Short Term?

Immediate interest from developers could lead to rapid adoption, impacting sales in upcoming quarters.

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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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