Connect Xperiencify and Zilliz to Build Intelligent Automations
Enable Integrations or automations with these events of Xperiencify and Zilliz
Enable Integrations or automations with these events of Xperiencify and Zilliz
Actions
Add Student to a Course
Add student to a existing course.
Search Student
Retrieve the details of student by its email address.
Update Student Info
Update a student’s details using their email address.
Remove Student From Course
Remove the student from a specific course.
Remove Student From All Course
Remove a student from all courses.
Add Tag to Student
Assign one or more tags to a student.
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Frequently Asked Questions
To start, connect both your Xperiencify and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in Xperiencify triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how Xperiencify data is recorded in Zilliz. This includes choosing which data fields go into which fields of Zilliz, setting up custom formats, and filtering out unwanted information.
The data sync between Xperiencify and Zilliz typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Xperiencify and Zilliz. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Xperiencify
Xperiencify is an online course platform that builds 8 psychological triggers into your course.
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About Zilliz
Zilliz is a leading provider of vector database solutions, designed to handle large-scale data processing and analytics. It offers advanced capabilities for managing and querying vector data, making it ideal for AI and machine learning applications. Zilliz's platform is optimized for high performance and scalability, enabling businesses to efficiently process and analyze complex datasets.
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