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Elastic Reports 8x Speed and 32x Efficiency Gains for Elasticsearch and Lucene Vector Database

Elastic

Elastic, the company behind Elasticsearch®, 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*:

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“Our goal is to make Elasticsearch and Apache Lucene the best vector database and Elasticsearch the best retrieval platform for semantic search, RAG, and generative AI use cases,” said Shay Banon, founder and chief technology officer at Elastic. “Elastic’s contributions bring multifold performance gains in speed, scale, and efficiency, ensuring the Elasticsearch-Lucene integration continues to be a versatile vector database and search experience loved by developers and trusted by enterprises the world over.”

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.

Source: BusinessWire

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