Developed a comprehensive string distance and similarity API for the SurrealDB core repository, focusing on advanced text processing and fuzzy matching capabilities. Leveraging Rust and the strsim crate, the work integrated multiple string comparison metrics, including Damerau-Levenshtein, Hamming, Levenshtein, OSA distance, Jaro, Jaro-Winkler, and Sorensen-Dice, directly into SurrealDB queries. This addition enables more robust text analytics, deduplication, and search functionalities within the database. The implementation centered on database functions and string manipulation, aligning with the project’s architecture and standards. The feature was delivered as a cohesive patch, laying the foundation for future enhancements in text-based querying.