Build an AI chat agent for your Zendesk knowledge base with GPT-4.1 and InfraNodus GraphRAG
UnknownWhat this workflow does
This AI workflow has 7 nodes and runs when an HTTP GET request hits its webhook URL. Along the way it connects OpenAI Chat Model, HTTP Request and Infranodus (community). It also calls noduslabs.zendesk.com over HTTP.
How it runs
Trigger: When an HTTP GET request hits its webhook URL.
- Support Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 2 tools (Zendek Search, Get a response from knowledge base in InfraNodus Graph RAG); memory: Simple Memory
- Respond to Webhook: sends the response back to the webhook caller
Services it uses
HTTP calls to: noduslabs.zendesk.com
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-infranodus is verified or supports 3.0 (used in Get a response from knowledge base in InfraNodus Graph RAG).
Nodes used (7)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Webhook
n8n-nodes-base.webhook - Respond to Webhook
n8n-nodes-base.respondToWebhook - AI Agent
@n8n/n8n-nodes-langchain.agent - Infranodus Tool
n8n-nodes-infranodus.infranodusTool - Http Request Tool
n8n-nodes-base.httpRequestTool
From the author
Build a Better AI Chatbot for Your Zendesk Knowledge Portal Simple setup, no vector database needed. Uses GraphRAG to enhance user's prompts and provide high-quality and relevant up-to-date responses from your Zendesk knowledge base. Can be embedded on your…