Automate ITSM ticket classification and resolution using Gemini, Qdrant and ServiceNow
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 17 nodes and runs when a chat message arrives (plus 1 other trigger). Along the way it connects Google Gemini Chat Model, ServiceNow, Qdrant Vector Store and Embeddings Google Gemini.
How it runs
Trigger: When a chat message arrives (plus 1 other trigger).
- Text Classifier: classifies text into categories with AI, with model: Google Gemini Chat Model
- Edit Fields (Edit Fields (Set)): sets 1 field: sample_kb
- Create an incident (ServiceNow): create (incident)
- HTTP Request: calls an HTTP API
- AI Agent: runs an AI agent, with model: Google Gemini Chat Model; 1 tool (Qdrant Vector Store); memory: Simple Memory
- Qdrant Vector Store: stores documents in the Qdrant vector store, with embeddings: Embeddings Google Gemini; document loader: Default Data Loader
- Summarization Chain: summarizes text with AI, with model: Google Gemini Chat Model
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (13)
- AI Agent
@n8n/n8n-nodes-langchain.agent - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - Text Classifier
@n8n/n8n-nodes-langchain.textClassifier - ServiceNow
n8n-nodes-base.serviceNow - Qdrant Vector Store
@n8n/n8n-nodes-langchain.vectorStoreQdrant - Edit Fields (Set)
n8n-nodes-base.set - Embeddings Google Gemini
@n8n/n8n-nodes-langchain.embeddingsGoogleGemini - Manual Trigger
n8n-nodes-base.manualTrigger - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Summarization Chain
@n8n/n8n-nodes-langchain.chainSummarization - HTTP Request
n8n-nodes-base.httpRequest
From the author
Who’s it for This template is ideal for IT support teams, internal helpdesk automation engineers, and developers building intelligent ticketing systems. It helps streamline ITSM workflows by automatically classifying user queries, retrieving relevant…