From the viewpoint of RAG 2.0, during the stage of indexing or pre-processing, such approaches as knowledge graph is a MUST to resolve such issues as multi hop question answering, long text question answering as well as semantic gap between question and answers. As a result, you could look on graphrag as a component of future RAGFlow. Given the graph based orchestration, integrating graphrag into ragflow is not difficult. As a result, RAGFlow will support graphrag in very near future.
RAGFlow is to create a Graph workflow to solve multi-hop question-answering issue.