Elastic Adds Support for Cohere High-Performance Embeddings

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

View source version on businesswire.com: https://www.businesswire.com/news/home/20240403180307/en/

Alexia Russell

Elastic Global PR

PR-Team@elastic.co

Source: Elastic N.V.

FAQ

What is the main announcement in the PR?

The main announcement is Elastic (NYSE: ESTC) introducing native support for Cohere's text embedding models in Elasticsearch.

What are the benefits of using Cohere's int8 embeddings in Elasticsearch?

Using Cohere's int8 embeddings in Elasticsearch offers up to 4x memory savings and up to 30% faster search without compromising quality.

Who is the chief product officer at Cohere mentioned in the PR?

The chief product officer at Cohere mentioned in the PR is Jaron Waldman.

When will support for Cohere embeddings be generally available?

Support for Cohere embeddings will soon be generally available in an upcoming Elasticsearch release.

Which version of Elastic is required for preview support of Cohere embeddings?

Preview support for Cohere embeddings is available with Elastic 8.13.