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Join John Handler (Senior Principal Solutions Architect at AWS) and Sohaib Katariwala (Senior OpenSearch Specialist SA) as they dive into the fundamental question: What is search? In This Episode: ✅ John's 20+ year journey in search technology ✅ The evolution from CloudSearch to Amazon OpenSearch Service ✅ Core search concepts: inverted indexes and search documents ✅ How search engines differ from relational databases ✅ Lexical search and text decomposition ✅ The connection between traditional search and modern AI/LLM technologies Key Concepts Covered: What is a search document and why it matters How inverted indexes work (think: cookbook ingredient index!) The difference between transactional databases and search engines Free text matching and relevance The bridge between traditional search and GenAI About the Hosts: John Handler has been with AWS for 15 years, working on search technologies from CloudSearch through the entire evolution to Amazon OpenSearch Service. Sohaib Katariwala is a Senior OpenSearch Specialist Solutions Architect helping customers leverage OpenSearch for search and analytics. What's Next: In upcoming episodes, we'll explore AI-powered search, large language models, hybrid search, log analytics, and much more! Have questions or topics you'd like us to cover? Drop them in the comments below! 👇 🔔 Subscribe to stay updated on new episodes! Chapters: 0:00 - Introduction & Host Introductions 0:58 - John's Journey in Search Technology 5:43 - What is Search? 8:14 - Inverted Indexes Explained 10:02 - Search Documents Deep Dive 11:50 - Lexical Search & Text Decomposition 13:08 - Wrap Up & Next Episode Preview Related Links: • Amazon OpenSearch Service: https://go.aws/3OjHAvQ • OpenSearch Project: https://go.aws/46wcRC3 • OpenSearch Documentation: https://go.aws/4qgxHMT