Inverted Index
An inverted index is a data structure that maps keywords or terms to the documents or locations where they appear, enabling rapid searches in large datasets. This technique flips the usual document-to-terms relationship, making it ideal for full-text searches in search engines and databases, and it's a key innovation that powers everything from Google queries to e-commerce site filters.
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Inverted indexes are so efficient that they allow search engines like Google to handle over 8.5 billion queries daily, returning results in under a second, thanks to their ability to process vast amounts of data with minimal computational overhead. This concept, first detailed in the 1950s, has evolved to support modern AI-driven searches, making it a silent hero in the era of big data.
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