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DataStax CTO Discusses RAG’s Role in Reducing AI Hallucinations

Retrieval Augmented Generation (RAG) has become essential for IT leaders and enterprises looking to implement generative AI. By using a large language model (LLM) and RAG, enterprises can ground an LLM in enterprise data, improving the accuracy of outputs. But how does RAG work? What are the use cases for RAG? And are there any real alternatives? TechRepublic sat down…