AI Chatbot Agent: Your Panel of Experts Powered by InfraNodus Graph RAG
detail.loadingPreview
Supercharge your customer support and product ideation with an AI Chatbot Agent that leverages the power of InfraNodus knowledge graphs and Graph RAG. Get expert-level insights by connecting your custom knowledge bases.
About This Workflow
Unlock unparalleled intelligence for your AI chatbot with this n8n workflow. This solution transforms your InfraNodus knowledge graphs into an active 'panel of experts' for your AI agent. By integrating your custom data into InfraNodus and creating distinct knowledge graphs, you empower your chatbot to access and synthesize information with unprecedented accuracy. The Graph RAG (Retrieval Augmented Generation) capabilities ensure that responses are not only relevant but also deeply informed by your specific domain knowledge, making it ideal for advanced support, nuanced product discussions, and strategic ideation.
Key Features
- Dynamic Expert Panel: Connect multiple InfraNodus knowledge graphs as specialized 'experts' for your AI agent.
- Graph RAG Integration: Leverages InfraNodus' advanced Graph RAG to retrieve contextually relevant information.
- Intelligent Agent Routing: The AI agent intelligently selects the most appropriate expert(s) based on user queries.
- Contextual Memory: Maintains conversation history for natural and coherent interactions.
- Flexible Deployment: Utilize as an internal n8n tool or expose via a public URL for embedding.
How To Use
- Set up InfraNodus: Upload your data to InfraNodus and generate distinct knowledge graphs for different domains or expertise areas.
- Configure Chat Trigger: Customize the 'When chat message received' node with your desired chatbot title, subtitle, and initial prompt.
- Define AI Agent: Configure the 'AI Agent' node with a system message that guides its decision-making, emphasizing the use of available tools (your InfraNodus graphs).
- Add Experts: For each 'Expert' sticky note (e.g., 'Expert #2', 'Expert #3'), configure an HTTP node to query your InfraNodus graph using its API. Ensure the graph name is correctly specified in the request body.
- Describe Tools: In InfraNodus, add descriptive notes or summaries to your graphs. These descriptions will be used by the AI agent to understand what each 'expert' knows and when to consult them.
- Configure Memory: The 'Simple Memory' node is pre-configured to manage conversation context. Ensure it's connected in the workflow.
- Review Response Handling: The workflow is set up to send the AI's final response back to the user. You can extend this by adding nodes to log conversations to spreadsheets or databases.
Apps Used
Workflow JSON
{
"id": "54b02495-8073-47c1-bc98-a68897283bba",
"name": "AI Chatbot Agent: Your Panel of Experts Powered by InfraNodus Graph RAG",
"nodes": 23,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 54b02495-8073...
About the Author
N8N_Community_Pick
Curator
Hand-picked high quality workflows from the global community.
Statistics
Related Workflows
Discover more workflows you might like
WhatsApp AI Assistant: LLaMA 4 & Google Search for Real-Time Insights
Instantly deploy a smart AI assistant on WhatsApp, powered by Groq's lightning-fast LLaMA 4 model. This workflow enables real-time conversations, remembers context, and provides up-to-date answers by integrating live Google Search results.
AI-Powered On-Page SEO Audit & Report Automation
Instantly generate comprehensive on-page SEO technical and content audits for any website URL. This AI-powered workflow automates the entire process, from scraping the page to delivering a detailed report directly to your inbox, empowering you to optimize for better search rankings and user engagement.
Automate LinkedIn Content Promotion for Your Ghost Blog with AI
Effortlessly promote your latest Ghost blog posts on LinkedIn. This workflow leverages AI to generate engaging, professional LinkedIn messages based on your article content and saves them, along with article metadata, directly to a Google Sheet.