Elastic Adds Support for Cohere High-Performance Embeddings
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.
- 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.
- “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.
- “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.
- 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.