Trained by Jina AI . jina reranker v2 base multilingual Intended Usage & Model Info The Jina Reranker v2 ( jina reranker v2 base multilingual ) is a transformer based model that has been fine tuned for text reranking task, which is a crucial component in many information retrieval systems. It is a cross encoder model that takes a query and a document pair as input and outputs a score indicating the relevance of the document to the query. The model is trained on a large dataset of query document pairs and is capable of reranking documents in multiple languages with high accuracy. Compared with the state of the art reranker models, including the previous released jina reranker v1 base en , the Jina Reranker v2 model has demonstrated competitiveness across a series of benchmarks targeting for text retrieval, multilingual capability, function calling aware and text to SQL aware reranking, and code retrieval tasks. The jina reranker v2 base multilingual model is capable of handling long texts with a context length of up to 1024 tokens, enabling the processing of extensive inputs. To enable the model to handle long texts that exceed 1024 tokens, the model uses a sliding window approach t…
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