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Mini toolsBGE Base v1.5
BGE Base v1.5 is the middle English model in the BGE v1.5 family. The BGE documentation says v1.5 models were released in Sep-2023 to improve retrieval ability without instruction tuning and to fix similarity-distribution problems. This variant is listed at 109M parameters and 438 MB, positioning it as the balanced English v1.5 choice for dense retrieval and general text embedding tasks where users want stronger behavior than v1 with moderate resource use.
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Gen 7
Overview
BGE Base v1.5 is BAAI’s mid-size English BGE v1.5 embedding model. It belongs to the Sep-2023 v1.5 update that improved retrieval behavior and similarity distribution, while keeping a balanced base-scale footprint for practical deployment.
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
