Cohere Embed
Text and image embedding API
Not a hands-on review
Overview
Models that turn queries and documents into vectors for semantic retrieval.
- Directory category
- Embedding models
- Documented capability
- Text and image embedding API
- Source-domain tags
- Not compared for source reach
Category and tags describe how this directory organises the market. They are not a complete feature or coverage audit.
Questions worth asking
- Which input types, languages, and model versions are supported?
- What dimensions, limits, and migration costs affect your index?
- How is retrieval quality measured on your own corpus?
These are evaluation prompts, not findings about Cohere Embed. Check the primary source and test with your own workload before making a decision.