Multimodal embeddings: Unifying visual and text data | Cohere Blog
Jul 18, 2025

Summary
This post introduces Embed 3, a new multimodal embedding model that significantly enhances multimodal search for business, offering improved accuracy and efficiency. It details the technical implementation of this model, focusing on its ability to unify visual and text data for semantic search and retrieval. The post discusses the architecture and training of Embed 3, highlighting its performance improvements over previous versions and its application in enterprise search and RAG scenarios.
More from the Multilingual Semantic Search trail
- Embed 5: Frontier Embedding Models for Enterprise | Cohere
- 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
- Introducing multimodal Embed 3: Powering AI search | Cohere Blog