Frank Liu

This talk explores the evolution and future of AI-powered search and retrieval, moving beyond traditional keyword matching to understand user intent and conceptual relationships. It highlights how AI search systems can provide more grounded and relevant responses, particularly in applications like Retrieval-Augmented Generation (RAG), by leveraging embeddings and advanced techniques. The discussion also touches upon the increasing importance of multimodality and agentic capabilities in shaping the next generation of search technologies.