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Modern search engines do more than match keywords. When you search for "cozy mystery set in Paris" and get results for "atmospheric detective novel in France" that's vector search at work: documents and queries are converted into lists of numbers, called embeddings, and the search engine finds the documents whose numbers are closest to the query's.

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More Like This lets search start from a selected document instead of a new query. The classic approach relies on similar words; the modern approach uses embeddings and nearest-vector search. This article explains where each approach is useful and what production systems need to consider.

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