Retrieval-Augmented Generation (RAG) is a widely used strategy in Large-Language Models (LLMs) to extrapolate beyond the inherent pre-trained knowledge. Hence. RAG is crucial when working in data-sparse fields such as Chemistry. The evaluation of RAG systems is commonly conducted using specialized datasets. https://foldlyers.shop/product-category/solid-state/