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Case sensitive Indicates whether comparisons should be case sensitive. Include score Whether the score should be included in the result set. A score of 0 indicates a perfect match, while a score of 1 indicates a complete mismatch. Sort Whether to sort the result list, by score. Tokenize When true, the algorithm will search individual words and the full string, computing the final score as a function of both. In this case, the threshold, distance, and location are inconsequential for individual tokens, and are thus ignored. Match all tokens When true, the result set will only include records that match all tokens. Will only work if tokenize is also true. The name of the identifier property. If specified, the returned result will be a list of the items' identifiers, otherwise it will be a list of the items. List of properties that will be searched. This supports nested properties, weighted search, searching in arrays Determines approximately where in the text is the pattern expected to be found. At what point does the match algorithm give up. A threshold of 0.0 requires a perfect match (of both letters and location), a threshold of 1.0 would match anything. Determines how close the match must be to the fuzzy location (specified by location). An exact letter match which is distance characters away from the fuzzy location would score as a complete mismatch. A distance of 0 requires the match be at the exact location specified, a distance of 1000 would require a perfect match to be within 800 characters of the location to be found using a threshold of 0.8. The maximum length of the pattern. The longer the pattern (i.e. the search query), the more intensive the search operation will be. Whenever the pattern exceeds the maxPatternLength, an error will be thrown. Why is this important? Read this.

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