japanese-reranker-xsmall-v2 is a compact model designed for reranking Japanese text passages. Built with the sentence-transformers library, it helps improve the quality of search and retrieval systems by scoring and reordering candidate documents. The model is publicly available on Hugging Face for integration into RAG pipelines and information retrieval applications.
In the Embeddings & retrieval space, Japanese Reranker Xsmall takes a focused approach. It focuses on improving search relevance for Japanese language content by reranking initial retrieval results. Japanese Reranker Xsmall is an open-source project aimed at developers. Japanese Reranker Xsmall is open source under the Open Source license. Japanese Reranker Xsmall is available on the web, the command line, and API.
It is developed by hotchpotch.
Summary written by a language model from the project’s public pages.
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