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Elastic Adds Support for Cohere High-Performance Embeddings
Rhea-AI Impact
(Low)
Rhea-AI Sentiment
(Very Positive)
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Rhea-AI Summary
Elastic (NYSE: ESTC) announces native support for Cohere's text embedding models in Elasticsearch, offering up to 4x memory savings and 30% faster search without compromising quality. This collaboration aims to enhance semantic search capabilities for enterprise scenarios.
Positive
Elastic (NYSE: ESTC) introduces native support for Cohere's text embedding models in Elasticsearch.
Efficient int8 embeddings optimize performance and reduce memory cost for semantic search across large datasets.
Developers can experience up to 4x memory savings and up to 30% faster search with this integration.
Collaboration aims to bring state-of-the-art search solutions to enterprises, enhancing performance, efficiency, and search quality.
Support for Cohere embeddings available in preview with Elastic 8.13 and will be generally available in an upcoming Elasticsearch release.
Negative
None.
Developers can now natively use the Elastic vector database to store and search Cohere’s new int8 text embeddings
SAN FRANCISCO--(BUSINESS WIRE)--
Elastic (NYSE: ESTC), the company behind Elasticsearch®, today announced the Elasticsearch open Inference API now supports Cohere’s text embedding models. This includes Elasticsearch native support for efficient int8 embeddings, which optimize performance and reduce memory cost for semantic search across the large datasets commonly found in enterprise scenarios.
With this integration, Elasticsearch developers can experience immediate performance gains, including up to 4x memory savings and up to 30% faster search, without impacting search quality.
“We’re excited to collaborate with Elastic to bring state-of-the-art search solutions to enterprises,” said Jaron Waldman, chief product officer at Cohere. “Elasticsearch delivers strong vector retrieval performance on large datasets, and their native support for Cohere’s Embed v3 models with int8 compression helps unlock gains in performance, efficiency, and search quality for enterprise-grade deployments of semantic search and retrieval-augmented generation (RAG)."
“Developers who want to build more intuitive and accurate semantic search experiences for enterprise use cases need to look at Elasticsearch and Cohere,” said Shay Banon, founder & chief technology officer at Elastic. “Innovation is rarely insular, and our work with the great team at Cohere showcases how we bring developers the best of both worlds. The Cohere and Elastic communities now have great models to generate embeddings with support for inference workloads and seamless integration into the leading search and analytics platform that has invested in creating the best vector database.”
Support for Cohere embeddings is available in preview with Elastic 8.13 and will soon be generally available in an upcoming Elasticsearch release.
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
elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. founded in 2012 by the people behind the elasticsearch, kibana, beats, and logstash open source projects, elastic's global community has more than 80,000 members across 45 countries. since its initial release, elastic's products have achieved more than 100 million cumulative downloads. today thousands of organizations, including cisco, ebay, dell, goldman sachs, groupon, hp, microsoft, netflix, the new york times, uber, verizon, yelp, and wikipedia, use the elastic stack, x-pack, and elastic cloud to power mission-critical systems that drive new revenue opportunities and massive cost savings. elastic is backed by more than $104 million in funding from benchmark capital, index ventures, and nea; has headquarters in amsterdam, the netherlands, and mountain view, california; and has over 400 employees in more than 30 count
