About this talk
This talk explores how graph databases, particularly Neo4j, enhance the performance of retrieval-augmented generation (RAG) for AI systems. The speakers, Brandon Tylke and Jon Gentsch, demonstrate techniques to optimize RAG for better efficiency and scalability in AI applications. They delve into the challenges faced in achieving high performance and present solutions that leverage the strengths of graph databases.
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