Imagine effortlessly unlocking a treasure trove of design inspiration. That's the promise of a new AI-powered tool designed to automate the intricate process of modeling complex systems. Traditionally, representing systems using the SAPPhIRE causality model has been a manual, time-consuming task, requiring experts to painstakingly extract knowledge from numerous technical documents. This new tool leverages the power of Retrieval-Augmented Generation (RAG) to streamline this process. It takes the name of a system, say a solenoid valve, and automatically generates a structured description based on the SAPPhIRE model. This model breaks down the system's functionality into seven key constructs: State changes, Actions, Parts, Phenomena, Inputs, oRgans, and Effects. The tool cleverly uses Wikipedia as its knowledge base, retrieving relevant articles and intelligently extracting information to populate the SAPPhIRE model. This process isn't just about summarizing information; it's about understanding the causal relationships within a system. For instance, the tool can identify the parts of a solenoid valve, the physical phenomena involved in its operation, and the effects it produces. Initial tests show promising results, with the tool demonstrating high accuracy in generating relevant descriptions for various systems. This is a significant step towards automating design-by-analogy, a powerful technique that uses existing systems as inspiration for new designs. By automating SAPPhIRE model creation, this tool empowers designers to effortlessly explore a vast library of potential analogues, sparking creativity and accelerating the design process. While challenges remain, such as ensuring the tool consistently grounds its responses in factual information, this research paves the way for a future where AI empowers designers to innovate more efficiently and effectively. This automation could revolutionize fields from engineering to biomimicry, enabling the rapid development of novel solutions inspired by the world around us.