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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New File
Triggers when a new file is added.
New Folder
Trigger when new folder is added.
Do thisActions
Action is the task that follows automatically within your OneDrive integrations.
Create a Folder
Creates a folder.
Create New Text File
Creates a new text file with a plain text content.
Find File
Find a file by name
Find Folder
Finds a folder by name
List Clusters
List all the Cluster
List Cloud Regions
List all the Cloud regions in zilliz.
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Frequently Asked Questions
To start, connect both your OneDrive and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in OneDrive triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how OneDrive 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 OneDrive 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 OneDrive 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 OneDrive
Microsoft OneDrive is a file hosting service operated by Microsoft. First released in August 2007, it allows registered users to store, share and sync their files. OneDrive also works as the storage backend of the web version of Microsoft 365 / Office.
Learn MoreAbout 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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