Zendesk ticket summarizer with Pinecone, OpenAI, and Slack
Ready for 3.0What this workflow does
This AI workflow has 11 nodes and runs on a schedule (every day at 10:00). Along the way it connects OpenAI Chat Model, Pinecone Vector Store, Embeddings OpenAI and Slack and 1 more.
How it runs
Trigger: On a schedule (every day at 10:00).
- Get tickets (Zendesk): get many
- Pinecone Vector Store: stores documents in the Pinecone vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
- Wait: waits 15 seconds
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Pinecone Vector Store)
- Send to Slack channel (Slack): uses Slack
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 (9)
- OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Slack
n8n-nodes-base.slack - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Wait
n8n-nodes-base.wait - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Zendesk
n8n-nodes-base.zendesk - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
Zendesk Ticket Summarizer with Pinecone, OpenAI, and Slack This workflow automates the process of summarizing recent Zendesk support tickets and sharing key insights in a Slack channel. It is ideal for support teams who want daily, AI-generated overviews of…