Building Production-Grade RAG at Scale
The Data Exchange with Ben Lorica
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Evolving RAG: Emphasizing System Cohesion for AI Applications
This chapter explores the intricate factors involved in developing a successful Retrieval-Augmented Generation (RAG) system, focusing on the transition to RAG 2.0. It underscores the importance of viewing RAG as a unified system that requires joint optimization among all components for optimal performance.
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