https://store-images.s-microsoft.com/image/apps.10812.3efc98bb-b2e1-494e-a99a-aad189bf42d1.ae4fae1b-6574-4dc2-bf4c-5bb4bf8f04d1.9bd21e3a-4ebe-469b-8c9c-1f24c1e8c106

Jina Reranker m0

durch Jina AI

New state-of-the-art multimodal reranking model for 29 languages.

  • Jina Reranker m0 is a neural multimodal reranking model, designed to enhance the relevance of search results.
  • It complements text, image or multimodal embedding models and refines search results by prioritizing documents relevant to a query.
  • This state-of-the-art reranker model enables a variety of applications that rely on precise search results across different languages, improved information retrieval, and high document throughput. Use-cases: Deep search, AI agents orchestration, vector search, retrieval augmented generation (RAG).

Highlights of Jina Reranker m0

  • High multilingual performance across the board: This reranker model ranks at the top compared to its competitors, in terms of NDCG and recall, according to MBEIR, MKQA, ViDoRe and others.
  • Extended context length: This reranker model is capable of handling queries up to 10,240 tokens.
  • Novel support for image documents: One of the first reranker models to support text, images and complex documents with negligible modality gap.