InfraNodus n8n Integrations

n8n is a popular tool for no-code integrations. It has an easy-to-use interface and a locally hosted version, which makes it easier to debug your workflows.

We created a set of n8n templates you can use to experiment with the insights that can be generated by our API.

We also have an official InfraNodus n8n Node npm package that you can add to your local n8n instance so you can access the InfraNodus API with a simplified syntax.

Browse n8n Templates GitHub Workflow Templates

Simple GraphRAG Chatbot

Our most popular template helps you create an AI agent chatbot with expert knowledge that you can access directly in InfraNodus, bypassing the need to set up a vector store in an external database. It uses GraphRAG under the hood, making the precision of responses much better than your standard RAG systems. GraphRAG will retrieve query-specific relations from the knowledge graphs you create with InfraNodus, unlike the standard RAG that will only perform similarity search. This is especially interesting for domain-specific applications and general / malformed user queries or where you need to add a reasoning logic to your LLM workflows.

Here is an example of the easiest implementation of GraphRAG with n8n:

 

You can simply send a user's request to the API and let it generate the response for you — no need to set up OpenAI / agent nodes or complex vector store systems.

Prompt Augmentation Workflow

A more complex setup involves using our HTTP node (with the requestMode=reprompt parameter) to augment your prompt and to then send the improved user query to a knowledge base of your choice:

Reasoning Expert Workflow

For more complex workflows, you can integrate our "expert" HTTP node to your AI agent workflow, where you use a single or multiple InfraNodus graphs as experts that can provide both reasoning logic and additional knowledge to your LLM workflows:

 

In this scenario, the user's query is augmented using the InfraNodus GraphRAG reasoning expert, then sent back to OpenAI for an answer. The additional context makes the response less generic and introduces the reasoning logic contained in your knowledge graph. In our case, we use the ecological thinking framework knowledge graph as an expert:

Access Workflow Templates

You can access InfraNodus n8n workflow templates at:

• Our GitHub repo: n8n-infranodus-workflow-templates
(the most up-to-date workflows, constantly updated)

• The n8n website: n8n InfraNodus templates
(verified workflows with complete descriptions, updated every month by n8n team)

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