Jina AI: State-of-the-art models for multimodal retrieval

Someshwaran Mohankumar

Senior Developer Advocate

Elastic

So much of the world's information exists in formats other than text. Jina's multimodal embedding models make that content searchable, right alongside text. We'll trace how we got here: from CLIP's modality gap to Jina's Omni models, open-weight models that encode text, images, audio, video, and PDFs into one semantic space. We'll cover how it works, where it shines, and how to use it. Plus, we'll show how our unified inference service makes any model production-ready, as well as consistent APIs across providers and clouds, regional deployment controls, and flexible model choices that cut operational complexity.