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#020 The Evolution of Search, Finding Search Signals, GenAI Augmented Retrieval

How AI Is Built

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Navigating the Evolution of Search Technology

This chapter explores the evolution of search technology with a particular focus on user intent detection and the complexities of query classification. It highlights the integration of machine learning, semantic search, and various ranking strategies, emphasizing the importance of context and negative filtering for improved search results. The discussion also covers the operational challenges faced when optimizing and maintaining search ranking models, underscoring the trade-offs organizations must navigate in the modern search landscape.

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