Elasticsearch Term Level Queries – Fuzzy Query

Searching natural language is imprecise because computers can’t comprehend entire natural language. Fuzzy Query can find words that need at most a certain number of character modifications to match. In this tutorial, we’re gonna look at way to use Elasticsearch Fuzzy Query that uses similarity based on Levenshtein edit distance.

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Elasticsearch Term Level Queries – Term & Terms Query

We had known that Full text queries will analyse query string before executing. In this tutorial, we’re gonna look at term-level queries (Term & Terms Query) that operate on the exact terms which are stored in the inverted index.

These queries are usually used for structured data (numbers, dates, enums…), rather than full text fields.

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