in natural language, it is universal that one word has many different meanings. and this arises some problems, for example, search algorithm based on accurate matching will give results which are not what users want.
LSI doesn't take the natural language understanding into consideration, but by using statistics with a large number of samples, finds the relevancy between different words/phrases, and make the search results closer to what users are looking for and this also can ensure the efficiency of search.