Knowledge Indexing - Jira
This is a 'Project' template which means that it contains a group of workflows that work together to achieve a particular aim
OverviewCopy
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-upCopy
Import the Project into your Tray instance.
Create a Data Table in this Project with the following columns:
`Ticket Key`
`Ticket Link`
`Decision`
`Reason`
Create a Vector Table in this Project with these configurations:
`Name`: Something that suits your use-case
`Dimensions`: 1024
`Metric`: Cosine
**Note**: The Embedding Model this Project uses is the Amazon Titan Embedding Text v2 via AWS Bedrock.
Open the `Jira extract` workflow and configure the Config variables:
`jql_to_query_tickets`: Define your query to select tickets that will be audited by AI and potentially converted to knowledge articles
Open the `Jira Audit + KB Creation + Vector Table Push` workflow and configure these steps:
`data-tables-1`: Select the Data Table created in Step 2
Ensure columns are in this order:
`Ticket Key`
`Ticket Link`
`Decision`
`Reason`
`vector-tables-1`: Select the Vector Table created in Step 3
Next StepsCopy
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!