Understanding Retrieval-Augmented Generation Why Fine-Tuning Falls Short on Dynamic Data How RAG Bridges the Knowledge Gap Real-World Implementation Strategies Conclusion Retrieval-Augmented Generation addresses the current challenge in artificial intelligence, bridging LLMs with existing, live knowledge bases. Whereas basic LLM have their knowledge "frozen at training-time," the RAG concept...