RAG is AI that does its homework before responding, ensuring the answers are not only smart but also based on real facts. It works by first searching for relevant information from a large set of data and then using that information to generate accurate and useful answers.
Prompt engineering is critical for eliciting useful responses from large language models like ChatGPT. Using clear instructions, providing context, and asking follow-up questions help improve the AI responses.