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RAG, or Retrieval Augmented Generation, is an AI technique that improves large language models (LLMs) by connecting them to external knowledge bases to retrieve relevant, factual information before generating a response. This approach reduces LLM "hallucinations," provides more accurate and up-to-date answers, and allows for responses grounded in specialized or frequently updated data, increasing trust and relevance.

I was unaware what RAG referred to, perhaps other too.