Text-based retrieval is a process used to find specific information within a large collection of text documents. It involves searching for keywords or phrases to locate relevant content quickly. This method is commonly used in search engines, databases, and digital libraries to help users access the information they need efficiently. The technology behind text-based retrieval often includes algorithms that rank documents based on their relevance to the search query. Techniques such as natural language processing and machine learning can enhance the accuracy of results, making it easier for users to find pertinent information among vast amounts of data.