jina-embeddings-v4: Universal Embeddings for Multimodal Multilingual Retrieval

Michael Günther, Saba Sturua, Mohammad Kalim Akram +8

We introduce jina-embeddings-v4, a 3.8 billion parameter multimodal embedding model that unifies text and image representations through a novel architecture supporting both single-…