modernbert-embed-base is a sentence-transformers compatible embedding model built on the ModernBERT architecture by Nomic AI. It excels on the MTEB benchmark for tasks including semantic similarity, clustering, and information retrieval. Supports Transformers.js and can be used for building semantic search systems or RAG applications.
Modernbert Embed Base is a Foundation models & chat product. It focuses on generating high-quality dense vector representations of text for semantic search and retrieval. It is built as an open-source project for developers. Modernbert Embed Base is open source under the Open Source license. It runs on the web, embeddable surfaces, and API.
Behind Modernbert Embed Base is Nomic AI, and the product first shipped in 2025. Key capabilities include Sentence Embeddings, Feature Extraction, and MTEB Benchmark.
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