A lean embedding specialist trained without labeled data, relying on unsupervised signals to learn text representations. It operates within a tight 512-token window, making it suited for sentence and paragraph-level encoding rather than long documents. The unsupervised training means it's broadly general but may lag behind supervised variants on domain-specific retrieval tasks.