Detailed Explanation
Semantic search aims to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms. Instead of relying on exact keyword matching (lexical search), it uses vector embeddings to retrieve documents that are conceptually related to the query. For example, a semantic search for 'car' will understand that documents containing 'automobile' or 'vehicle' are highly relevant.