Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Fuzzy Queries

The video tutorial explains fuzzy matching in search engines, focusing on the Levenshtein edit distance, which quantifies typos and misspellings through substitutions, insertions, and deletions. It demonstrates how to use the fuzziness parameter in search queries to tolerate errors and discusses the auto setting for fuzziness based on string length. Practical examples using movie titles illustrate how fuzzy search works, showing how different levels of fuzziness affect search results.

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