Example Concept: In RAG, the system first retrieves relevant documents or pieces of information from a database based on the user's query. These retrieved pieces are then used as context for a generative model, which crafts a response that integrates the retrieved information. This method leverages both the precision of retrieval systems and the flexibility of generative models to produce accurate and context-aware responses.