A focused, no-frills embedding specialist built on the ModernBERT architecture. It converts text into dense vector representations with a notably long 8192-token context window for a base-sized model, meaning it can handle full documents rather than just short passages. It trades generative ability entirely for embedding quality, making it single-minded in purpose.