Modern document search demands more than just keyword matching. This article dives deep into building advanced AI document search platforms leveraging hybrid retrieval techniques—combining the best of traditional keyword search with cutting-edge semantic understanding via vector embeddings. We’ll explore how metadata filtering supercharges precision, examine core architectural components, and discuss practical implementation considerations to help you create highly accurate and efficient search experiences.