Full-Text Search
Full-text search is a method that examines the complete content of documents, files, or databases to locate specific words, phrases, or patterns, making it ideal for handling large volumes of unstructured data. It goes beyond basic keyword matching by incorporating features like relevance ranking, stemming, and fuzzy matching, which have revolutionized how we retrieve information in everything from search engines to enterprise software.
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The first widely used full-text search system, known as STAIRS, was developed by IBM in 1971 and revolutionized document retrieval for businesses and governments, handling millions of pages with unprecedented speed. Today, full-text search powers engines like Google, which processes over 8.5 billion searches daily, connecting users to information in ways that echo the system's original intent but on a global scale.
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