The book "Latent Semantic Indexing and Information Retrieval" offers a comprehensive introduction to the concepts of latent semantic indexing (LSI) and information retrieval. It highlights the challenges that common search engines face in returning relevant documents, particularly concerning ambiguous terms and synonyms. By applying Singular Value Decomposition (SVD), the underlying semantic structure of documents is revealed. The book describes the implementation of a local search engine called Bosse, specifically developed for Wikipedia articles. Four different types of searches are presented, allowing users to find documents or terms similar to a given term, query, or document. The importance of term weighting, the exclusion of non-content words, and the optimal number of remaining dimensions during SVD are also discussed.