Fuzzy search

Fuzzy search is a search method that allows for approximate matching of terms or phrases, rather than strict, exact matches. It is specifically designed to handle situations where variations, misspellings, or similar terms are present in the search query. In essence, fuzzy search is a technique that helps us address typos or minor spelling errors in search queries.

For instance, let’s imagine a scenario where a user intends to find Aldous Huxley’s book "Brave New World" but misspells "World" as "Word" in their search query, resulting in "Brave New Word". Elasticsearch’s fuzzy search feature can rectify this by enabling the search to produce accurate results by accommodating minor spelling errors. Consequently, "Brave New Word" would be identified as a match for "Brave New World".

Another instance involves searching for the term "Apple". Through the utilization of fuzzy search, variations like "Aaple", "Aple", or "Aplle" can be considered matches for the original term.

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