A specialized embedding model built for scientific text in the space and Earth science domain. It converts scientific passages into dense vector representations, making it useful for semantic search and document similarity tasks within NASA's scientific literature. Its very small context window of 514 tokens means it works best with focused, paragraph-length inputs rather than long documents.