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 sits in PulseGate's Foundation models & chat category. It focuses on providing high-quality Korean text embeddings for semantic search and retrieval in Korean-language applications. BGE M3 Ko is an open-source project aimed at developers. The project is open source (Apache-2.0). BGE M3 Ko is available on the web, the command line, and API, and it can be self-hosted.
It is developed by dragonkue, and the product first shipped in 2019. The project is developed in the open on GitHub with 18.9k stars and 96 commits in the last 90 days. Among its 3 catalogued features are Text Embeddings, Sentence Similarity, and Multilingual Support. It exposes integrations via a public API.
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