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Elastic Reports 8x Speed and 32x Efficiency Gains for Elasticsearch and Lucene Vector DatabaseElastic (NYSE: ESTC), the company behind Elasticsearch®, today announced new vector database performance gains with Elasticsearch and Apache Lucene, with up to 8x speed and 32x efficiency. These advancements provide developers with the most flexible and open tools needed to keep up with rapid generative AI innovation. New optimization strategies and enhancements driving the increased gains in Elasticsearch and Apache Lucene include*:
Customers are building the next generation of AI enabled search applications with Elastic's vector database and vector search technology. For example, Roboflow is used by over 500,000 engineers to create datasets, train models, and deploy computer vision models to production. Roboflow uses Elastic vector database to store and search billions of vector embeddings. Learn more about Lucene's integration into Elasticsearch and how these investments deliver faster vector search performance and scale here. *These features are available in Elasticsearch version 8.10 and above. About Elastic Elastic (NYSE: ESTC), the leading search analytics company, securely harnesses search powered AI to enable everyone to find the answers they need in real-time using all their data, at scale. Elastic's solutions for security, observability and search are built on the Elasticsearch platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.
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