The retrieval of relevant cases plays a crucial role in case-based reasoning. There are three major methods for the retrieval of relevant cases: computational approaches (based upon measures of similarity), representational approaches (based upon indexing structures) and hybrid approaches. This paper looks at recent successful implementations of case retrieval with regard to this classification framework. Similarly it emphasises computational and representational models applied to feature-vector case representations.