Content-Based Retrieval is a method used in information retrieval systems to find and retrieve data based on the actual content of the items, rather than metadata or keywords. This approach analyzes the features of the content, such as images, audio, or text, to identify and match relevant information. In image retrieval, for example, algorithms can examine colors, shapes, and textures to find similar images. This technique is particularly useful in applications like digital libraries and multimedia databases, where users seek specific content without relying solely on descriptive tags or titles.