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BGE Code v1

BGE Code v1 is a 1.5B multilingual code embedding model built for semantic code retrieval and related text retrieval tasks. The docs highlight three main strengths: strong code retrieval, robust text retrieval, and broad multilingual support. BAAI says it supports English and Chinese natural-language queries plus 20 programming languages, and positions it as a state-of-the-art code retrieval model that also performs strongly as a multilingual text embedder.
Multimodal Gen 2
Released: May 19, 2025

Overview

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.

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 Code v1

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Last updated: April 16, 2026
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