A user-tuned version of the BGE-M3 embedding model optimized for sentence similarity and retrieval tasks. It produces dense vector representations of text that capture semantic meaning. The model is accessible via the Hugging Face ecosystem and supports high-volume inference through hosted providers.
USER Bge M3 sits in PulseGate's Foundation models & chat category. It focuses on generating high-quality text embeddings for semantic search and similarity in specialized domains. It is built as an open-source project for developers and researchers working with text retrieval. USER Bge M3 is open source under the MIT license. USER Bge M3 is available on the web, the command line, and API.
It is developed by deepvk, and the product first shipped in 2023. Development happens publicly on GitHub with 12k stars and 3 commits in the last 90 days. It exposes integrations via a public API.
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