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Jina CLIP v2

por Jina AI

Embedding model for cross-modal and multimodal retrieval for text, images and complex document inputs

With jina-clip-v2, users have a single embedding model that delivers competitive performance in both text-only and text-image cross-modal retrieval - across multiple major languages of the world.
Jina CLIP v2 is successor to Jina CLIP v1, with improved performance on text-only, text-to-image and image-to-image retrieval, and a huge improvement on retrieval of complex documents, such as screenshots containing a mix of text, visual elements such as charts and, graphics.

Highlights:

  • Multimodal: Superior performance on all combinations of modalities, and especially large improvements in text-only embedding performance.
  • Multilingual: Trained with support for 89 major world languages. Additionally, Jina Embeddings’ 8k token input support makes it possible to process detailed textual information and correlate it with images.
  • Matryoshka Learning Enabled : Supports flexible embedding sizes – between 2 and 1024, allowing for truncating embeddings to fit your storage needs.

  • Usage:

    Please refer to this link for detailed usage.

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