RAG employs sophisticated retrieval mechanisms that match the query context with the most pertinent data from a comprehensive knowledge base, using techniques like vector embeddings to find semantically relevant content. The generation component is fine-tuned to synthesize the retrieved data accurately, ensuring the final output is contextually appropriate and informationally correct.