# Graph RAG - [What is Graph RAG | Graphwise Fundamentals](https://graphwise.ai/fundamentals/what-is-graph-rag/) - [Graphwise GraphDB](https://graphwise.ai/components/graphdb/) - [Ontotext GraphDB](https://www.ontotext.com/products/graphdb/) - [Enhancing RAG-based application accuracy by constructing and leveraging knowledge graphs](https://blog.langchain.com/enhancing-rag-based-applications-accuracy-by-constructing-and-leveraging-knowledge-graphs/) - [Neo4j Graph Database & Analytics | Graph Database Management System](https://neo4j.com/?utm_source=Google&utm_medium=PaidSearch&utm_campaign=Evergreenutm_content%3DAMS-Search-SEMBrand-Evergreen-None-SEM-SEM-NonABM&utm_term=neo4j&utm_adgroup=core-brand&gad_source=1&gclid=CjwKCAjw48-vBhBbEiwAzqrZVOnH2D4WOkRLH78FtQAFitObkbJNs34kTFw4bbBX0VzwqSalQUV2UhoCrFcQAvD_BwE) - Neo4j features both keyword and vector indexes - [blogs/llm/enhancing_rag_with_graph.ipynb at master · tomasonjo/blogs · GitHub](https://github.com/tomasonjo/blogs/blob/master/llm/enhancing_rag_with_graph.ipynb?ref=blog.langchain.com)