Explore a foundational AWS re:Invent conference talk that delves into how artificial intelligence and machine learning are revolutionizing information retrieval systems. Discover the evolution from traditional word-matching to sophisticated meaning-based matching techniques in search functionality. Gain insights into core search algorithms, including BM25 scoring, dense and sparse vectors, Large Language Models (LLMs), embedding generation, neural and kNN plugins, and both exact and approximate scoring methods. Learn how OpenSearch leverages these advanced technologies to enhance information retrieval capabilities, making it possible to unlock deeper meaning from stored data. Master the fundamental concepts of modern search methodologies and understand why specific search approaches are chosen to optimize result accuracy and relevance.