Cohere Embed: New Features for More Efficient and Accurate Enterprise Search
Mar 27, 2024

Summary
This post introduces Cohere Embed v3, a new generation of embedding models that significantly improve accuracy and efficiency for enterprise search and RAG applications. It highlights advancements in multilingual capabilities, multimodal understanding (unifying text and image data), and performance optimizations for faster inference and reduced costs. The new models offer improved performance on benchmarks like MTEB and are designed to enhance semantic search, knowledge retrieval, and overall AI-powered search experiences.
More from the Multilingual Semantic Search trail
- Embed 5: Frontier Embedding Models for Enterprise | Cohere
- Multimodal embeddings: Unifying visual and text data | Cohere Blog
- The Embedding Archives: Multilingual Wiki Embeddings | Cohere Blog
- Multilingual Semantic Search with Cohere and Langchain | Cohere Blog
- Introducing Embed 4: Multimodal search for business | Cohere Blog