A compact reranker model from Jina AI designed for fast and accurate document reranking. It takes a query and a document as input and produces a relevance score. The model uses a specialized prompt format distinguishing between query and document roles and is optimized for integration into retrieval-augmented generation pipelines.
Jina Reranker M0 is an Other AI project. It focuses on improving the relevance ordering of retrieved documents in search and RAG systems. It is built as an open-source project for developers building search and retrieval systems. The project is open source (Open Source). Jina Reranker M0 is available on the web, the command line, and API.
It is developed by Jina AI, and it first shipped in 2025. Among its 3 catalogued features are Document Reranking, cross-Encoder, and Semantic Search.
Summary written by a language model from the project’s public pages.
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