The SMART Information Retrieval System is a framework designed to improve the efficiency of searching and retrieving information from large datasets. Developed at Cornell University in the 1970s, it utilizes various algorithms and models to rank documents based on their relevance to a user's query. This system laid the groundwork for many modern search engines and information retrieval techniques. One of the key features of the SMART system is its use of the Vector Space Model, which represents documents and queries as vectors in a multi-dimensional space. This allows for the calculation of similarity between documents and queries, enhancing the accuracy of search results and making it easier for users to find the information they need.