Using InfraNodus with n8n Automation Tool

You can use the InfraNodus GraphRAG API with a popular no-code automation tool n8n. If you want to start building, we have a collection of ready-made templates that use InfraNodus available in our GitHub repo:

https://github.com/infranodus/n8n-infranodus-workflow-templates

They include:

• an AI panel of experts AI chatbot (each expert is an InfraNodus graph that you create)
• an Telegram chatbot that talks to your InfraNodus graphs
• marketing / URL research automation that finds content gaps in existing discourse
• company data enrichment workflow with automatic summarization of findings by InfraNodus (e.g. competitors' weaknesses summarization)

You can use these workflow templates as inspiration to build your own workflows using InfraNodus. 

Once you create your chatbot, you can set the n8n chat trigger into Embed mode and then use our popupchat.dev tool to embed this on your website (all major platforms supported).

What are the Tools InfraNodus Provides for n8n Automations?

InfraNodus' most useful features that you can use in n8n are:

1. Content / Context Enhancer 

Will ingest a text and provide structured output detailing the main topics, concepts, keywords, and content gaps inside. Can be supplemented with AI-generated topical summary. Under the hood, it uses the knowledge graph representation, so it maintains information about the relations in your data and also the topical overview — something that's usually not available with standard similarity-based RAG vector stores.

You can use the `graphDotFromText` or `graphAndAdvice` API endpoints to get those results via the HTTP node in n8n. Authorization is performed through a standard Bearer token.

Use cases:
- This can be very useful for augmenting your AI chatbots with contextual information to have AI models provide better responses

- Works much faster than OpenAI and retrieves the main topical clusters (useful for SEO workflows)

- Can be used to improve the quality of your RAG response and to provide additional context to a model.

- Very easy to set up — no need for an OpenAI key or various Pinecone vector stores

Example:

Using InfraNodus Knowledge Graphs as Experts for AI Chatbot Agents in n8n

2. Plug-and-Play GraphRAG Knowledge Base

You can use the InfraNodus endpoint as a plug-and-play knowledge base in case you want to produce your responses from a collection of files or specific texts. Simply create your graph(s) in InfraNodus using our multiple automatic import options. Then expose these graphs using the `graphAndAdvice` endpoint using the `response` `requestMode` in POST request. 

When the user sends a prompt, you specify the name of the graph to query, and InfraNodus' GraphRAG will automatically extract the most relevant statements taking the underlying graph data into account. This means it won't just be based on similarity search but will also use the relational data, so the quality of the responses the user gets will be much higher.

Use cases:

- Easy knowledge base setup in n8n (instead of setting up complex vector store databases)

- Generate high-quality responses to user queries

- Context-aware summaries that will 100% cover all the important topics

- Quick access to your InfraNodus graph via chat interfaces or Telegram

Example:

Build a Custom Knowledge Base Graph RAG AI Chatbot with n8n

3. Automate Your InfraNodus Workflows

The ability to connect to your InfraNodus graphs via API makes it possible to connect your knowledge graphs to other services, such as Telegram, Discord, and others. 

While we are very proud of our graph interface, you might want to just get the graph insights and reuse them in other workflows. So this integration will allow you to do just that. 

For instance, you can create a workflow to automatically upload new Google Drive / Dropbox files to a specific graph in InfraNodus. Or to retrieve daily messages in Slack and generate daily insights that would then get send to all the chat's participants. 

Example:

Find Content Gaps in Websites: Market Research and SEO n8n Workflow

How to Build AI Workflows and Agents with n8n and InfraNodus?

One of the advantages of n8n is that it has more customizeable workflow builder than tools like Make.Com or Zapier, so you can create complex workflows that can be triggered internally, via an embeddable chat, Telegram bot, or a webhook. n8n has an open-source version, so you can host it locally and run it on your machine, which is great for testing.

Another advantage of n8n is the built-in AI Agent node, which allows you to build non-linear flows using various tools (including InfraNodus) to perform certain tasks.

There are several use cases where InfraNodus can be very helpful in your automation flows

For example, in our example below we use n8n AI Agent with InfraNodus to build a panel of experts on certain topics. The "experts" are the InfraNodus graphs that you can use as portable GraphRAG knowledge bases and the AI agent in n8n will automatically choose which expert to consult based on the user's query. 

n8n + InfraNodus Workflow Examples

Here are some examples of n8n + InfraNodus workflows described in detail. They can be a good starting point for you to build your own automation workflows with n8n and InfraNodus:

Find Content Gaps in Websites: Market Research and SEO n8n Workflow

Using InfraNodus Knowledge Graphs as Experts for AI Chatbot Agents in n8n

Build a Custom Knowledge Base Graph RAG AI Chatbot with n8n