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Learn how AI search has evolved from simple keyword matching to sophisticated techniques including vector search, Retrieval Augmented Generation (RAG), and Natural Language Understanding (NLU) in this 12-minute video featuring IBM Master Inventor Martin Keen and Lenovo Global SEO Strategy Lead Donna Bedford. Explore the fundamental transformation of information retrieval systems and understand how modern AI search technologies interpret context and meaning rather than just matching exact keywords. Discover how vector search enables semantic understanding by converting text into mathematical representations that capture meaning and relationships between concepts. Examine the role of RAG in combining retrieval systems with generative AI to provide more accurate and contextually relevant responses. Understand how Natural Language Understanding allows search systems to process human language more naturally and intuitively. Learn about the implications of these technological advances for SEO strategies and how businesses must adapt their content optimization approaches to align with AI-driven search algorithms that prioritize semantic relevance and user intent over traditional keyword density.
