dragonkue/BGE-m3-ko is a fine-tuned version of the BGE-M3 model adapted specifically for the Korean language. It generates dense embeddings suitable for semantic similarity, retrieval, and clustering tasks. The model is hosted on Hugging Face and can be used with standard embedding pipelines.
BGE M3 Ko is an Embeddings & retrieval project. It focuses on providing high-quality Korean text embeddings for semantic search and retrieval in Korean-language applications. It is built as an open-source project for developers. BGE M3 Ko is open source under the Apache-2.0 license. It ships for the web, the command line, and API, and it can be self-hosted.
It is developed by dragonkue, and it first shipped in 2019. Development happens publicly on GitHub with 18.9k stars and 96 commits in the last 90 days. Key capabilities include Text Embeddings, Sentence Similarity, and Multilingual Support. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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