Is there a more efficient way to get the Levenshtein-distance similarity as the score (based on 1 field value) rather than using match query and computing it in the application code after getting the results from Elasticsearch?
I couldn't find a function_score or OOB script that returns the score based on just the Levenshtein similarity eliminating the TF/IDF though I believe it's already computed during the search.
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