A specialist that transforms text into dense vector representations, optimized through contrastive learning to capture semantic similarity. It excels at understanding when two pieces of text mean roughly the same thing, even when worded differently. The short context window (514 tokens) means it works best with sentences and short paragraphs rather than long documents.