Granite Embedding Small English R2 is an open-source English-language embedding model developed by IBM Granite. It provides high-quality text embeddings for feature extraction, similarity search, and other NLP tasks. The model is suitable for engineers and researchers working on English-language applications.
Granite Embedding Small English R2 is a Foundation models & chat product. It focuses on generating high-quality text embeddings for English-language feature extraction and similarity tasks. It is built as an open-source project for NLP engineers. Granite Embedding Small English R2 is open source under the Apache-2.0 license. The product ships for the web, the command line, and API.
It is developed by IBM Granite, and the product first shipped in 2024. Development happens publicly on GitHub with 77 stars and 27 commits in the last 90 days. Key capabilities include text embeddings, feature extraction, and sentence transformers.
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