RAG, or Retrieval Augmented Generation, is an AI technique that improves large language models (LLMs) by connecting them to external knowledge bases to retrieve

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.