Traditional keyword-based search engines often fall short in understanding user intent. This article dives deep into building advanced AI search engines that leverage semantic search and vector embeddings. Discover how these powerful techniques transform raw text into meaningful numerical representations, enabling highly accurate and context-aware information retrieval. We’ll explore the core components, practical implementation steps, and key technologies needed to create intelligent search experiences.