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14min chapter
GraphRAG (beyond the hype) (Practical AI #288)
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Exploring Retrieval Augmented Generation
This chapter examines the evolution and advancements of Retrieval Augmented Generation (RAG), focusing on its origins, the rise of large language models, and the emergence of specialized vector databases. It discusses hybrid search techniques, the benefits of graph modeling for enhanced retrieval, and the integration of graph-based contexts to mitigate the issue of hallucination in generative responses.
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