Monthly Roundup: Navigating the Peaks and Valleys of Generative AI Technology
The Data Exchange with Ben Lorica
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Enhancing RAG Models with Graphs and Chunking
The chapter explores the integration of graphs and chunking in RAG (Retrieval Augmented Generative) models to improve reliability and effectiveness. It discusses the benefits of using graphs in RAG models through embedding techniques, highlighting the importance of chunking and the evolution of terms like GraphRag in generative AI technology.
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