AI Chatbot Agent with a Panel of Experts using InfraNodus GraphRAG Knowledge

Using the knowledge graphs instead of RAG vector stores

This workflow creates an AI chatbot agent that has access to several knowledge bases at the same time (used as "experts").

These knowledge bases are provided using the InfraNodus GraphRAG using the knowledge graphs and providing 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 (no complex data import workflows needed) - A knowledge graph has a holistic view of your knowledge base - Better retrieval of relations between the document chunks = higher quality responses


How it works This template uses the n8n AI agent node as an orchestrating agent that decides which tool (knowledge graph) to use based on the user's prompt.

Here's a description step by step: