Reasoning Expert with Graph RAG Knowledge Ontology - n8n Workflow

• AI Engineers and Developers requiring highly specialized, reproducible reasoning patterns.


• Data scientists implementing Graph RAG methodologies.


• Advanced n8n users looking to build complex conversational agents.


• Businesses needing structured, expert advice generators based on defined ontologies.

Standard Language Models often struggle with complex, domain-specific reasoning that requires linking defined concepts and relationships. This n8n workflow solves this by implementing a powerful Graph RAG architecture. By treating an external, structured knowledge graph (InfraNodus) as a callable tool, the central AI agent gains access to a verified reasoning ontology. This enables the agent to shift from general response generation to providing expert advice rooted in concepts like [[escalation]], [[metastability]], and [[polysingularity]]. This n8n workflow demonstrates how to dramatically increase the strategic depth and consistency of your conversational AI, providing a high-value example among available n8n templates.

The process begins with the When chat message received n8n trigger, initiating the conversational flow. The user's query is routed immediately to the central Reasoning Agent n8n node. This agent operates using the configured OpenAI Chat Model (specifically GPT-4o-mini) and maintains context via the Simple Memory n8n node. Crucially, the agent is equipped with a specialized tool: the Interaction Dynamics Expert. When the agent determines it needs structured, ontological advice, it calls this tool. This tool is an HTTP Request n8n node configured to interact with the InfraNodus knowledge graph API, submitting the current interaction dynamics for analysis. The InfraNodus API (the Graph RAG system) processes the request against its ontology, returning highly structured advice. The Reasoning Agent then incorporates this expert advice into its system prompt—using the expert’s instructions to improve the final response before delivering it to the user. This dynamic synthesis makes the final response highly strategic and tailored, utilizing every component of the n8n workflow effectively.

To deploy this advanced n8n workflow, follow these steps:

1. Import the JSON: Copy the provided n8n workflow JSON structure and paste it into your n8n instance using the 'New' -> 'Import from JSON' option.


2. Set up OpenAI Credentials: You must configure credentials for the OpenAI Chat Model n8n node. Select or create an 'OpenAiApi' credential with your API key.


3. Set up InfraNodus Credentials: The Interaction Dynamics Expert n8n node requires 'HTTP Bearer Auth' credentials. This is essential for accessing the specialized reasoning ontology API (InfraNodus). Ensure your InfraNodus API key is configured correctly under the name 'InfraNodus Experts Account' or update the credentials reference in the n8n node.


4. Activate the Trigger: Since this is a conversational flow, ensure the When chat message received n8n trigger is active and connected to your desired chat interface or application endpoint.


5. Test: Run a test execution of the n8n workflow to ensure the agent can successfully call the expert tool and generate a final response.

When chat message received (n8n trigger): This is the starting point, acting as the primary n8n trigger for the conversational system. It captures incoming user messages to initiate the automated reasoning process.
Reasoning Agent (LangChain Agent n8n node): The core control unit. Its system prompt instructs it to augment standard responses using advice obtained from the interaction expert, giving the 'utmost importance' to the knowledge ontology's input.
OpenAI Chat Model (LangChain LLM n8n node): Serves as the base large language model, configured to use gpt-4o-mini for efficient, high-quality processing within this n8n workflow.
Simple Memory (LangChain Memory n8n node): A buffer window memory n8n node that maintains the conversation history, allowing the agent to provide context when querying the external expert tool.

• Interaction Dynamics Expert (HTTP Request Tool n8n node): This crucial n8n node is configured as a tool for the agent. It POSTs the interpreted conversation prompt to a specialized InfraNodus API endpoint. The body parameters include a variable prompt derived from the Agent's need, ensuring the external Graph RAG ontology provides targeted advice based on predefined concepts, gaps, and relations defined in the tool description.