New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications “We’re committed to giving ...
Elastic (NYSE: ESTC), the Search AI Company, announced DiskBBQ, a new disk-friendly vector search algorithm in Elasticsearch that delivers more efficient vector search at scale than traditional ...
SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the company behind Elasticsearch®, today announced new vector database performance gains with Elasticsearch and Apache Lucene, with up to 8x speed ...
Continued investment into LangChain’s ecosystem brings Elastic’s latest retrieval innovations to one of the most popular generative AI libraries SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), ...
Enterprise search technology provider Elastic N.V. is hoping to make the data essential for generative artificial intelligence as well as security and observability workloads more accessible with the ...
SAN FRANCISCO - Elastic (NYSE:ESTC), a $9.2 billion market cap search technology provider with robust revenue growth of 17% year-over-year, has released two new vector search enhancements aimed at ...
SAN FRANCISCO - Elastic (NYSE:ESTC) has released DiskBBQ, a new vector search algorithm for Elasticsearch that aims to provide more efficient vector search at scale compared to commonly used industry ...
SAN FRANCISCO--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, today announced a partner integration package with LangChain that will simplify the import of vector database and retrieval ...
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 ...
SAN FRANCISCO, October 30, 2025--(BUSINESS WIRE)--Elastic (NYSE: ESTC), the Search AI Company, announced DiskBBQ, a new disk-friendly vector search algorithm in Elasticsearch that delivers more ...
New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications SAN FRANCISCO, July 30, ...
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