![]() So far the Landbot community reckons this is a pretty smart solution. I pass that result using some Prompt engineering as a POST again to Openai which I prompt it to then digest and output the Confluence Page content in a format that I am happy to present it in, back to the user (summarised and listing steps to take where applicable), plus I place a button to show the full article to the user via a Modal window, as the content in the REST JSON is all HTML, so they can also see the whole page article if they want to and its all well formatted. Then I send a GET request with the pageID using another request to Confluence again, I next output the matching results into Buttons labelled with the article titles, so the user can pick one specific relevant page article, To do that I had to strip out the HTML first for it to parse and re-write it how i wanted.įirst, you need to extract the keywords from the user input, so I use Openai to do this via a POST request, and then I send a GET request with the querystring title~ so that you get back articles using the Confluence REST API. The final ChatGPT Post does all the summarising of the page in Confluence so it outputs it in the most readable and digestible way to read in our Chatbot, which makes it far easier to read than the whole original article in Confluence. ![]() This works well for my use case and BETA chatbot for support using our Confluence KB. Using the asterisk solves word matching like the word 'forgot' to find an article title with the word 'forgotten' in it. My game in town is to use ChatGPT to do the smart Keyword extraction from the user's input and semantics using some prompt engineering, I interpret and extract keywords from user input like "How the hell do i change my password" where it ignores idiomatic expressions and Sends a GET request to Confluence with the keywords each delimited by a + character and by adding an asterisk to the end of each keyword so it can find titles. Watch this 1-minute video on how to use tabs.Personally, I have found the best way to integrate ChatGPT and Confluence into a Chatbot is using Landbot using Webhooks to Post using REST to Openai and using Get to retrieve titles and pages from Confluence. Watch this short video on how to use the search functionality with Microsoft Teams Jira Connector. In this short video, you can see a demo on how to create an issue discussion channel from Jira and come back to it later. Afterwards, your team can easily interact with cards. In this 2-minute demo, you can see how to set up notification rules, and configure multiple filters, and notification destinations. Get only what you care about using personal/direct or team/channel notificationsįeatures Notifications, customisable messages and interactive cards ![]() Reduce notifications noise by using multiple filters and rules to narrow down notifications With notifications, tabs, searches, and interactive cards, you can move work forward with ease. You will save time by not jumping back and forth between Jira and Microsoft Teams. With this integration, you can streamline your day-to-day work. Increase team productivity by tightly integrating Microsoft Teams and Atlassian's Jira.
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