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Mini toolsBGE ICL
BGE ICLis a 7.1B English embedding model built to push retrieval quality through in-context learning. The docs say it can significantly improve handling of new retrieval tasks when users provide few-shot examples in the query, and describe it as achieving state-of-the-art performance on MTEB and AIR-Bench. BAAI positions it as the highest-end English embedder in this set, with a 28.5 GB model size.
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Gen 7
Overview
BGE ICL is BAAI’s English embedding model with in-context learning. It is designed to improve retrieval on new tasks by adding a few-shot examples into the query, and BAAI positions it as a state-of-the-art BGE-series embedder on MTEB and AIR-Bench.
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.
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Last updated: April 16, 2026
