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Learn the fundamentals of information retrieval and search engines in this comprehensive workshop that explores decades of research and modern machine learning applications. Discover how search engines serve as the foundation for Retrieval-Augmented Generation (RAG) systems, moving beyond vector search as just a feature to understanding the core principles that have driven effective information retrieval for years. Explore traditional search methodologies that have proven successful over time and examine how machine learning has enhanced these established techniques. Gain insights into the evolution of search technology from basic information retrieval concepts to sophisticated modern implementations. Understand the critical role that robust search engines play in supporting AI applications and learn practical approaches to building effective retrieval systems. Led by Philipp Krenn, who heads Developer Relations at Elastic and brings extensive experience with Elasticsearch, Kibana, Beats, and Logstash technologies.
