We know that trigrams are the right way to tokenize these documents, we know how to tokenize documents when building the index, and how to tokenize queries when searching. We can put all this together into an actual search index that can match regular expressions very efficiently. By decomposing any regular expression into a set of trigrams and loading all the relevant posting lists from the inverted index, we end up with a list of documents that can potentially match our regular expression. This is important! The final result set will only be obtained by actually loading all the potential documents and matching the regular expression "the old fashioned way". But having this sub-set of documents is always faster than having to scan and match the whole codebase, file by file.
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I plan to experiment with TurboQuant applications across various scenarios to assess full capabilities. Already developing several ideas, which I'll share in future updates. Until next week!
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制定中长期规划指导经济社会发展，是我们党治国理政的一种重要方式，也是开门问策、集智聚力的过程。