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9min chapter
Productionizing GenAI at Scale with Robert Nishihara
AI Explained
Exploring Retrieval-Augmented Generation (RAG)
This chapter examines the essential components and architectures of Retrieval-Augmented Generation applications, highlighting the role of embedding computation and vector databases. It also discusses the evolution of machine learning serving and the challenges of orchestrating complex systems for real-time inference and decision-making.
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