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BGE small

BGE small is the lightweight English member of the original BGE v1 family released in Aug-2023. The BGE docs describe the v1 series as encoder-only BERT-based embedding models, and list bge-small-en at 33.4M parameters and 133 MB. It is intended for text embedding and retrieval workloads where efficiency matters more than maximum model scale, while still offering competitive performance for its size.
Text Gen 7
Released: August 5, 2023

Overview

BGE small is BAAI’s smallest English BGE v1 embedding model. It is an encoder-only BERT-based text embedder designed to map text into vectors for retrieval, and is positioned as a compact model with competitive performance despite its small size.

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 small

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Last updated: April 16, 2026
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