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Explore the evolution of search technology in this 37-minute conference talk that examines how modern search has transformed beyond traditional TF/IDF approaches. Learn about the fundamentals of lexical search and its inherent limitations before diving into vector search capabilities that enable semantic understanding of data. Discover how to combine both approaches using Elasticsearch to create powerful hybrid search solutions that leverage the strengths of each method. Understand the role of reranking models in improving search relevance and explore how large language models integrate with search systems through Retrieval Augmented Generation (RAG) to ground AI responses with private data. Gain practical insights into implementing these advanced search techniques while addressing concerns about adapting search solutions for semantic searches against proprietary datasets, with coverage spanning from early search engines through cutting-edge AI-powered search applications.
