Explore the potential of large language models (LLMs) generating SimTalk code, the scripting language in Siemens Plant Simulation software. Learn how Retrieval-Augmented Generation (RAG) is a powerful technique that significantly enhances the performance of LLMs by dynamically integrating external knowledge sources into the generation process. This integration allows models to access up-to-date, domain-specific information that may not be captured in their pre-training, making them much more versatile and reliable in responding to complex queries. Learn how Siemens extensive SimTalk documentation serves as a powerful foundation for contextual code generation.