This is a fine-tuned version of the BGE-reranker-v2-m3 model adapted for Korean language text ranking tasks. It can be used to rerank search results or retrieved passages based on relevance to a query. The model is distributed on Hugging Face and integrates with sentence-transformers for embedding and ranking workflows.
Bge Reranker V2 M3 Ko sits in PulseGate's Foundation models & chat category. It focuses on improving retrieval quality by reranking candidate documents or passages for Korean language queries. Bge Reranker V2 M3 Ko is an open-source project aimed at developers. Bge Reranker V2 M3 Ko is open source under the MIT license. It ships for the web, the command line, and API.
It is developed by dragonkue, and it first shipped in 2023. The project is developed in the open on GitHub with 12k stars. It operates in a well-populated space: PulseGate tracks 6 similar projects. Among its 3 catalogued features are Text Reranking, Cross-lingual Support, and Sentence Similarity. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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