A specialist retrieval model that operates in the biomedical domain, converting medical text into sparse vector representations where important terms get weighted by relevance. It combines the domain-specific vocabulary understanding of PubMedBERT with SPLADE's sparse retrieval approach, making it effective at matching biomedical queries to relevant documents. Its 512-token context limit means it works best with focused passages rather than long documents.