Finding highly relevant articles from biomedical databases is challenging not only because it is often difficult to accurately express a users underlying intention through keywords but also because a keyword-based query normally returns a long list of hits with many citations being unwanted by the user. This paper proposes a novel biomedical literature search system, called BiomedSearch, which supports complex queries and relevance feedback.