bge-small-en-v1.5 is a compact English embedding model based on BERT. It produces dense vector representations of sentences that can be used for semantic similarity, clustering, and retrieval-augmented generation. The model supports popular libraries like sentence-transformers and Hugging Face Transformers and is suitable for resource-constrained environments.
Bge Small En sits in PulseGate's Embeddings & retrieval category. It focuses on generating high-quality vector embeddings for English text to enable semantic search and similarity computations. Bge Small En is an open-source project aimed at developers. The project is open source (MIT). It runs on the web, the command line, and API.
Behind Bge Small En is michaelfeil, and it first shipped in 2023. Development happens publicly on GitHub with 2.9k stars.
Summary written by a language model from the project’s public pages.
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