Semantic Search is an advanced information retrieval technique that interprets the meaning behind user queries, enabling systems to understand intent, context, and relationships between terms. Unlike traditional keyword matching, semantic search uses embeddings, ontologies, and machine learning to deliver more accurate, personalized results—especially for complex or conversational queries where literal term matching fails to capture