Part 3/12:
Moving to more complex search types, text search (or text-based search) involves matching patterns within unstructured text data. Unlike exact search, it accommodates fuzzy matching, spelling errors, wildcards, and phrase searches.
Take an example: searching for a brand like "Tommy" might involve users typing "Triple Mou Y" due to spelling mistakes. Text search engines address this through inverted indexes and advanced features like result boosting, which prioritize certain attributes or fields—such as highlighting mentions of a product in a description or city name for better relevance.