Integrating RAG (Retrieval-augmented Generation) tools with LLMs enhances their performance by enabling real-time data retrieval, improving accuracy and contextual relevance. This combination ensures up-to-date, accurate responses without retraining models. RAG tools make LLM projects more scalable, adaptable, and efficient, overcoming challenges like data quality and integration complexity.