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RAG systems are advanced chatbots that leverage real-time data to enhance their performance and adaptability. They use various technologies like NLP, machine learning, and dialog management to interpret user input and generate relevant responses. However, current chatbots face challenges due to limited contextual understanding and reliance on static training data.
