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The Evolution of RAG Technology in Information Retrieval and AI
This chapter explores the ongoing debate between contextual windows and RAG technology for improving model performance, emphasizing the importance of context in search engine outcomes. It discusses the challenges and components of RAG systems, drawing parallels to early transformer technology and underlining the necessity for companies to adapt to changing customer expectations driven by natural language interactions. The conversation highlights the increasing prevalence of AI talent, the democratization of AI tools, and the importance of internal expertise in effectively utilizing database and model tools for large-scale applications.