If you're fuzzily looking up members in a fixed corpus, you can also employ the trick from https://github.com/wolfgarbe/SymSpell, which is essentially just to, for each string in your corpus, enumerate all of the variants of that string with one letter removed, and put both the original string and each variant in a hashtable as a key, with the original string as the value. To do a lookup, you do the same enumeration (original query plus each variant with one letter dropped), and look all of them up in your hashtable. The values you get out of that are a list of all of the strings in your corpus at edit distances 0 or 1, and potentially some at edit distance 2; you can do a subsequent Levenshtein calculation on each to weed out the distance-2 strings, but you only have to do it on this massively reduced set rather than on your whole corpus.

So like, to index a string "hello", you'd add all of {"hello":"hello","ello":"hello","hllo":"hello","helo":"hello","hell":"hello"} into your table, and for the query "gello", you'd look up all of ["gello", "ello", "gllo", "gelo", "gell"], and get a match on "ello"->"hello", then do a Levenshtein calculation dist("gello","hello") to confirm it's within ED=1 (it is), and be done. (Bonus: the same method works with Damerau-Levenshtein distance as well.)