RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine based on deep document understanding, offering a streamlined RAG workflow suitable for enterprises of all sizes. It combines Large Language Models (LLM) to provide authentic Q&A capabilities and supports referencing verifiable citations from a variety of complex data formats.