Semantic search is a search technique that aims to improve search accuracy by understanding the meaning and context of the words used in a query. Unlike traditional keyword-based search, which relies solely on matching words, semantic search considers the intent behind the search and the relationships between concepts. This allows search engines to deliver more relevant results based on the user's needs. For example, when searching for best restaurants in New York, a semantic search engine can recognize that the user is looking for dining options in a specific location, rather than just matching the words. This enhances the search experience by providing results that are more aligned with what the user truly wants.