Knowledge Indexing - Jira

Workflow

Artificial Intelligence

Intermediate

Use Template

This is a 'Workflow' template which means that it is a single standalone workflow.

Some workflow templates can be modified to work with other workflow templates - e.g. to convert a data sync between two services from uni-directional to bi-directional

Overview

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Extract data from their Jira tickets and turn them into Knowledge articles for a Support use-case by using AI.

If you need help reach out in the community in the #ai-help channel!

Set-up

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1. Import the Project into your Tray instance.

2. Create a Data Table in this Project with the following columns:

   1. `Ticket Key`

   2. `Ticket Link`

   3. `Decision`

   4. `Reason`

3. Create a Vector Table in this Project with these configurations:

   1. `Name`: Something that suits your use-case

   2. `Dimensions`: 1024

   3. `Metric`: Cosine

   4. **Note**: The Embedding Model this Project uses is the Amazon Titan Embedding Text v2 via AWS Bedrock.

4. Open the `Jira extract` workflow and configure the Config variables:

   1. `jql_to_query_tickets`: Define your query to select tickets that will be audited by AI and potentially converted to knowledge articles

5. Open the `Jira Audit + KB Creation + Vector Table Push` workflow and configure these steps:

   1. `data-tables-1`: Select the Data Table created in Step 2

   2. Ensure columns are in this order:

      1. `Ticket Key`

      2. `Ticket Link`

      3. `Decision`

      4. `Reason`

   3. `vector-tables-1`: Select the Vector Table created in Step 3

Next Steps

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Pair this with our Slackbot and other AI Agent templates to compose your first enterprise Agent.

If you need help reach out in the community in the #ai-help channel!