Create knowledge base from Jira tickets with OpenAI embeddings and Pinecone
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 9 nodes and runs on a schedule (every day). Along the way it connects Jira Software, Pinecone Vector Store and Embeddings OpenAI.
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
- Pinecone Vector Store: stores documents in the Pinecone vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
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 (7)
- Jira Software
n8n-nodes-base.jira - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Code
n8n-nodes-base.code - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader
From the author
How It Works This template is a workflow that registers Jira tickets to Pinecone. By combining it with the Automated Jira Ticket Responses with GPT-4 and Pinecone Knowledge Base template, you can continuously improve the quality of automated responses in…