Embedding Models
Text and multimodal embedding models for retrieval.
Cohere Embed v4
Cohere Embed v4 transforms text, images, and mixed content into unified vector representations for semantic search, RAG, document…
jina-embeddings-v3
Fast multilingual embeddings that outperform OpenAI on MTEB, but LoRA adapters complicate efficient serving and newer models have widened…
embed-english-v3.0
embed-english-v3.0 generates semantic embeddings from English text, producing 1,024-dimensional vectors suitable for retrieval-augmented…