embeddings

Ovis-Embedding: Pushing the Frontiers of Universal Omni-Modal Embeddingsarxiv.org

Ovis-Embedding is a unified omni‑modal embedding model that shares a single backbone for text, image, video, and audio, trained with contrastive loss, homogeneous‑source sampling, and embedding distillation. It achieves state‑of‑the‑art results on several multimodal retrieval benchmarks while offering low‑rank, dimension‑flexible embeddings.