Florian

very pleasure to see your post request on this issue if you have interest.

> hi, @fanzhidongyzby ,Graph RAG is an amazing feature, could you give some use cases? @Aries-ckt Subsequent documentation sections illustrate the use and workflow of Graph RAG with examples.

Here are tests for Graph RAG framework: * \[Triplet/Keyword Extractor Test\]: `tests/intetration_tests/transformer/test_extactor.py` * \[MemoryGraph Test\]: `tests/unit_tests/graph/test_graph.py` * \[MemoryGraphStore Test\]: `tests/intetration_tests/graph_store/test_memgraph_store.py` * \[TuGraphStore Test\]: `tests/intetration_tests/graph_store/test_tugraph_store.py` * \[Graph RAG Example\]: `examples/rag/graph_rag_example.py`

@Wangzhongxi TuGraph (Graph Database of Ant Group) has been integrated, and you can implement a neo4j connector. Ref: `dbgpt/datasource/conn_tugraph.py` PR：https://github.com/eosphoros-ai/DB-GPT/pull/1451

@sophiesun333 The reasoning of the large model has certain uncertainties. The default prompt words of the current system are still in English. Before the release, we conducted document tests in...

@sophiesun333 This demand can be realized. When DB-GPT loads documents into TuGraph, it will detect whether the Graph name exists. If it exists, it will be automatically merged. Of course,...