In this workflow, user sends a request to the InfraNodus GraphRAG system that will extract a reasoning ontology from a graph that you create (or that you can copy from our repository of public graphs) and generate a response directly to the user.
Note: This is a simple example that will work well for occasionally providing responses to users. For a more advanced setup, you might want to build a more sophisticated workflow with AI agent node that would orchestrate among different InfraNodus expert graphs and chat memory, so the context of the conversation can be maintained. See our other workflows for examples.
• Just get an InfraNodus API key and add API authentication to your InfraNodus GraphRAG node.
• In the same InfraNodus GraphRAG Nnode, provide the name of the graph you want to u. Note, these can be two different graphs ife for retrieval.
If you wan to create your own reasoning ontology graphs, please, refer to this article on generating your own knowledge graph ontologies.
You may also be interested to watch this video that explains the logic of this approach in detail:
Help article on this specific workflow: Building expert ontology for InfraNodus GraphRAG n8n expert node.