Creating knowledge suggestions consists of adding knowledge articles from your Pega Knowledge repository to your Digital Messaging interface configuration. When you add a knowledge suggestion, you associate a knowledge article with a topic. During analysis, when Pega Platform uses natural language processing (iNLP) to detect words related to the topic in a conversation, Messaging AI automatically suggests the associated knowledge article to the CSR.

1. On the Configuration tab of your Digital Messaging interface, in the Suggested knowledge articles section, click Add knowledge article.
   Result: The system displays the Add knowledge article window.
2. In the Associated topic list, select a topic or enter a new topic name.
   If you add a new topic, the system also adds the topic to the list of topics that you can select when you configure case suggestions, and to the list that opens when you click Edit topics in the Text Analyzer section of the Behavior tab of your interface.
3. In the table with the articles in your Pega Knowledge repository, click the title of the article that you want Messaging AI to suggest to users.
   You can use the filters displayed above the table to limit the number the knowledge articles that the system shows to users. You can filter an article by its title, content type, and category.
   Result: The article name populates in the Selected article field and the article content populates in the Selected article abstract field.
4. Click Submit.
5. Optional: To add additional knowledge suggestions thatmeet your business requirements, repeat steps 1 through 4.
6. Click Saveto save your updates in the channel.
   Result: The Suggested knowledge articles section on the Configuration tab of your Digital Messaging interface displays the knowledge article. The Response topic column in the section shows the associated topic for each article. When Pega iNLP detects a defined topic in a conversation, Messaging AI suggests the associated knowledge article to the CSR.