AI Chatbot with InfraNodus Knowledge Graphs for Expert Support

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This n8n workflow creates an advanced AI chatbot that leverages InfraNodus knowledge graphs and Graph RAG (Retrieval-Augmented Generation) to simulate a panel of expert advisors. The system is designed for interactive support, ideation, and problem-solving across various fields by providing contextually relevant responses based on expert knowledge. The process begins with a webhook trigger that receives user messages, initializing a conversation and setting up memory to maintain context. Multiple ‘expert’ nodes connect to InfraNodus APIs, each representing specialized knowledge domains such as EightOS and Polysingularity, allowing the chatbot to dynamically select the most relevant ‘expert’ based on user input. The core AI agent combines insights from these expert nodes, with the final response sent back to the user. This workflow is ideal for creating intelligent, knowledge-driven customer support bots, ideation assistants, or decision-making tools that need expert-level information retrieval and natural language processing.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, httpRequestTool, stickyNote

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