Granite Embedding Models

By Parul Awasthy, Aashka Trivedi, Yu-Long Li, Mihaela A. Bornea, David Cox, Abraham Daniels, Martin Franz, Gabe Goodhart, Bhavani Iyer, Vishwajeet Kumar and 11 more. 2025

Subfields: Information Retrieval & Search, Representation & Self-Supervised Learning

Citations in the corpus

• S-DAT: A Multilingual, GenAI-Driven Framework for Automated Divergent Thinking Assessment (2025, unknown): “After extensive testing of state-of-the-art multilingual embedding models (see Table 1 for an overview and the MTEB leaderboard 1 for benchmarks), we selected the granite-embedding-278m-multilingual model (Awasthy et al., 2025) as our base model for S-DAT.”