Retrieve Answers from Knowledge Base with InfraNodus GraphRAG Chatbot — n8n Workflow
Overview
Basic AI Chatbot that Retrieves Answers From Knowledge Base Using GraphRAG.
Easiest setup, without vector database, external knowledge base, or OpenAI API keys. All you need is an InfraNodus graph with your knowledge.
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.
How it works
Receives a reques
Nodes used
Workflow Preview
How it Works
- 1
Trigger
The workflow starts with a trigger trigger.
- 2
Process
Data flows through 5 nodes, connecting chat, chattrigger, n8n-nodes-infranodus.infranodus.
- 3
Output
The workflow completes its automation and delivers the result to the configured destination.
Node Details (5)
Get a response from knowledge base
n8n-nodes-infranodus.infranodus
When chat message received
n8n-nodes-langchain.chatTrigger
Respond to Chat
n8n-nodes-langchain.chat
Webhook
webhook
Respond to Webhook
respondToWebhook
Sticky Note3
stickyNote
How to Import This Workflow
- 1Click Download JSON button on the right to save the workflow file.
- 2Open your n8n instance. Go to Workflows → New → Import from file.
- 3Select the downloaded
retrieve-answers-from-knowledge-base-with-infranodus-graphrag-chatbotfile and click Import. - 4Set up credentials for each service node (API keys, OAuth, etc.).
- 5Click Test Workflow to verify everything works, then activate it.
Or paste directly in n8n → Import from JSON:
Integrations
Created by
InfraNodus
@infranodus
Tags
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