Jina Embeddings v5 Omni Small Retrieval is an open-weight multimodal embedding model for converting text, images, and video into vectors. Developers can run it locally with Python tooling for semantic search, retrieval-augmented generation, and cross-modal retrieval.
Jina Embeddings V5 Omni Small Retrieval is an Embeddings & retrieval project. It focuses on finding semantically related text, images, and video across multimodal datasets for search and retrieval applications. Jina Embeddings V5 Omni Small Retrieval is an open-source project aimed at developers building search and retrieval systems. The project is open source (Open Source). It ships for the web and the command line, and it can be self-hosted.
Jina AI builds and maintains Jina Embeddings V5 Omni Small Retrieval. Key capabilities include text embeddings, image embeddings, and video embeddings.
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