Automated Jira ticket responses with GPT-4 and Pinecone knowledge base
Ready for 3.0What this workflow does
This AI workflow has 13 nodes and runs on a schedule (every day). Along the way it connects OpenAI Chat Model, Pinecone Vector Store, Embeddings OpenAI and Jira Software.
How it runs
Trigger: On a schedule (every day).
- Jira Issue List (Jira Software): get many
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Code: runs custom JavaScript code
- Jira Issue Detail (Jira Software): get many (issue comment)
- Code: runs custom JavaScript code
- check accountId (If): checks a condition and branches into true / false
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Pinecone Vector Store)
- Jira Add Comment (Jira Software): work with issue comment
- Jira Assign (Jira Software): update
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)
- AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Jira Software
n8n-nodes-base.jira - If
n8n-nodes-base.if - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Code
n8n-nodes-base.code - Schedule Trigger
n8n-nodes-base.scheduleTrigger
From the author
How It Works This template is an n8n workflow that integrates with Jira to provide automated replies. When a ticket is assigned to a user, the workflow analyzes the ticket content, retrieves relevant knowledge from a vector database, and generates a response.…