Fuzzy Match Search Demo

This page is intended to test the fuzzy matching and typo tolerance capabilities of the NextWiki search (Note: fuzzy matching might still be in progress).

Try searching for variations or misspellings of these words:

• fuzzymatching (Try: fuzy matching, fuzymatching)
• PostgreSQL (Try: Postgress, PosgresQL)
• NextAuth (Try: NexAuth, NextAuthh)
• highlighting (Try: hightlighting, highliting)
• collaboration (Try: colaboration, collaberation)
• javascript (Try: javscript, javascrpt)

How it Works (or Will Work)

Fuzzy matching often uses techniques like trigram similarity (pg_trgm extension in PostgreSQL) or Levenshtein distance to find terms that are close to the search query, even if not identical.

This helps users find content even if they make a typo (wierd instead of weird) or aren't sure of the exact spelling.

Effective fuzzymatching requires careful indexing and query tuning. The system might calculate a similarity score between the search term and terms in the documents and return results above a certain threshold.

Testing different variations, like javscript for javascript or colaboration for collaboration, helps ensure the search is robust.