Chat with PDF / MD / Text Files using GraphRAG (no vector store needed)

Set up a chat with your documents without the complex vector store setup. This templates helps you ingest your PDF / text / MD documents into a knowledge graph use the graph as the knowledge base for your AI chatbots (and other workflows) visualize the main topics and gaps in your documents (good for observability and research) The knowledge base is provided using the InfraNodus GraphRAG with the knowledge graphs offering high-quality responses without the need to set up complex RAG vector store workflows. The advantages of using GraphRAG instead of the standard vector stores for knowledge are: Easy and quick to set up and update — no complex data import workflows needed A knowledge graph of

Help me set up the n8n workflow "Chat with PDF / MD / Text Files using GraphRAG (no vector store needed)" (https://n8n.io/workflows/4755). It uses: HTTP Request, Google Drive, AI Agent, OpenAI Chat Model, Simple Memory. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.