BGE Code v1
BGE Code v1 is BAAI’s LLM-based code embedding model for code and text retrieval. It supports natural-language queries in English and Chinese, covers 20 programming languages, and is also designed to keep strong multilingual text-retrieval quality beyond code search.
- Type
- Multimodal
- Weights
- Open
More from Beijing Academy of Artificial Intelligence (BAAI)
13
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412 DL
AquilaChat
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AI model by Beijing Academy of Artificial Intelligence (BAAI)
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BGE base
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BGE base is BAAI’s mid-size English BGE v1 embedding model. It is an encoder-only BERT-based text embedder fo…
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BGE Base v1.5
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BGE Base v1.5 is BAAI’s mid-size English BGE v1.5 embedding model. It belongs to the Sep-2023 v1.5 update tha…
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BGE ICL
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BGE ICL is BAAI’s English embedding model with in-context learning. It is designed to improve retrieval on ne…
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9.9M DL
BGE large
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BGE large is BAAI’s flagship English model in the original BGE v1 series. It is an encoder-only BERT-based em…
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BGE large v1.5
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BGE large v1.5 is BAAI’s top English BGE v1.5 embedding model. It is the large-scale Sep-2023 update to bge-l…
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36M DL
BGE M3
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BGE M3 is BAAI’s multilingual retrieval embedding model built around three strengths: multi-functionality, mu…
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4.2M DL
BGE Reranker base
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BGE Reranker base is BAAI’s lighter first-generation cross-encoder reranker for English and Chinese. It direc…
About Beijing Academy of Artificial Intelligence (BAAI)
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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.