Enhance AI Chatbot Responses with InfraNodus Knowledge Graph Reasoning

Augment AI chatbot prompts with a knowledge graph reasoning ontology and improve the quality of responses with Graph RAG. In this workflow, we augment the original prompt using 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). This additional reasoning logic will improve the user's prompt and make it more descriptive and closely related to the logic you want to use. As the next step, you can send it back to the same graph to generate a high-quality response using Graph RAG or to another graph (or AI model) to apply one type of knowledge in a completely different field. How it works R

Help me set up the n8n workflow "Enhance AI Chatbot Responses with InfraNodus Knowledge Graph Reasoning" (https://n8n.io/workflows/6887). It uses: HTTP Request. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.