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](https://infranodus.com/use-case/ai-knowledge-graphs) 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 offers a holistic and interactive view of your knowledge base (accessible via our API or a web interface — also shareable) - Better retrieval of relations between the document chunks = higher quality responses


How it works This template uses the [InfraNodus knowledge graph](https://infranodus.com) as a knowledge base for your n8n AI agent node.

The knowledge graph contains the documents you can upload using this template from your Google Drive.