📖 Create knowledge base from Jira tickets with OpenAI embeddings and Pinecone

⚡ 168 views · 📖 Internal Wiki & Knowledge Base

Description

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 Jira.

Prerequisites

• A Jira account and credentials (API key and email address)
• A Pinecone account and credentials (API key and environment settings)
• OpenAI credentials (API key)

Setup Instructions

1. Jira Credentials

   • Register your Jira credentials (API key and email address) in n8n.

2. Vector Database Setup (Pinecone)

   • Register your Pinecone credentials (API key and environment variables) in n8n.

3. AI Node

   • Configure the OpenAI node with your credentials (API key).

Step by Step

1. Scheduled Trigger
   The workflow runs at regular intervals according to the schedule set in the Scheduled Trigger node.

2. Jira Trigger (Completed Tickets)
   Retrieves the summary, description, and comments of completed Jira tickets.

3. Register to Pinecone
   Converts the retrieved ticket information into vectors and registers them in Pinecone.

Notes

• Configure the Scheduled Trigger interval carefully to avoid exceeding API rate limits.

Further Reference

For a detailed walkthrough (in Japanese), see this article:
👉 Automating knowledge registration to Pinecone with n8n (Qiita)

You can find the template file on GitHub here:
👉 Template File on GitHub

🔗 Nodes Used

Jira Software, Schedule Trigger, Embeddings OpenAI, Pinecone Vector Store, Default Data Loader

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup