Connect smsmode and Zilliz to Build Intelligent Automations
Enable Integrations or automations with these events of smsmode and Zilliz
Enable Integrations or automations with these events of smsmode and Zilliz
Actions
Send SMS to Recipients
Send a text message to one or more phone numbers.
Get Organisation Channels
Get all channels for an organisation.
Cancel Scheduled Message
Cancel a scheduled message before it is sent
List Clusters
List all the Cluster
List Cloud Regions
List all the Cloud regions in zilliz.
Create Cluster
Create a dedicated cluster.
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Frequently Asked Questions
To start, connect both your smsmode and Zilliz accounts to viaSocket. Once connected, you can set up a workflow where an event in smsmode triggers actions in Zilliz (or vice versa).
Absolutely. You can customize how smsmode 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 smsmode 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 smsmode 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 smsmode
smsmode is a leading platform for sending and managing SMS communications, offering robust solutions for businesses to enhance their customer engagement through text messaging.
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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