Design and implement a fuzzy string matching system that can: 1) Calculate similarity scores between strings using multiple algorithms (Levenshtein, Jaro-Winkler, Cosine similarity) 2) Handle case-insensitivity and diacritic normalization 3) Implement efficient indexing to search across large datasets 4) Provide configurable thresholds for matching 5) Create a composite scoring mechanism combining multiple similarity metrics 6) Handle phonetic matching for similar-sounding words. Provide implementation details, performance optimizations, and benchmarks for processing at least 100,000 strings.