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BGE Reranker base

BGE Reranker base is the 278M lightweight model in BAAI’s first reranker line. The docs describe it as a cross-encoder reranker for English and Chinese that directly outputs a similarity score for a query-document pair, typically after an embedding model retrieves top-k candidates. It uses XLM-RoBERTa-Base, is listed at 1.11 GB, and is positioned as the faster, easier-to-deploy alternative to the larger reranker model.
Text Gen 7
Released: September 12, 2023

Overview

BGE Reranker base is BAAI’s lighter first-generation cross-encoder reranker for English and Chinese. It directly scores query-document relevance rather than producing embeddings, and is positioned as the faster, easier-to-deploy reranking option in the original BGE reranker family.

About Beijing Academy of Artificial Intelligence (BAAI)

Beijing Academy of Artificial Intelligence (BAAI), also known as Zhiyuan Institute, is a Chinese non-profit AI research laboratory established in November 2018. BAAI conducts fundamental AI research, develops open-source models (including WuDao, BGE embeddings, Emu, and RoboBrain), and fosters collaboration between academia and industry. Known for creating the BGE (BAAI General Embedding) series of embedding models used in RAG systems worldwide.

Industry: Research
Company Size: 260
Location: Beijing, Beijing, CN
Website: baai.ac.cn
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Tools using BGE Reranker base

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Last updated: April 16, 2026
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