spRAG is a Retrieval-Augmented Generation (RAG) framework specifically designed for unstructured data, particularly adept at processing complex textual queries such as financial reports, legal documents, and academic papers. It achieves significantly higher accuracy rates on complex open-domain question answering tasks, such as the FinanceBench benchmark test, compared to traditional RAG baseline models.