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"Search and Retrieval" is a book category that covers the theory, methods, systems, and applications for finding and fetching relevant information from large collections—ranging from traditional library catalogues and relational databases to the web, enterprise archives, and modern vector stores. Titles in this category include foundational and advanced treatments of information retrieval models, indexing and ranking algorithms, query processing, relevance and evaluation metrics, and practical engineering of search systems (crawling, scalability, and architectures), as well as applied topics like semantic and personalized search, natural language understanding for search, recommender systems, and forensic or legal e-discovery. Books may be academic textbooks, practitioner-focused engineering guides, case studies, or surveys of emerging trends such as neural retrieval, semantic vector search, and retrieval-augmented generation, and are aimed at researchers, students, software engineers, data scientists, and product managers working on information access.

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