Connect Luma AI and Cassandra to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Luma AI
Choose an Action
Automatically do this!
- Request a new Action for Cassandra
Enable Integrations or automations with these events of Luma AI and Cassandra
Enable Integrations or automations with these events of Luma AI and Cassandra
Actions
List generations
Retrieve a list of generations with optional filtering and sorting.
Create a generation
Initiate a new generation with the provided prompt
Upscale a generation
Upscale a generation by its ID.
Add audio to a generation
Add audio to a generation by its ID
Delete a generation
Remove a specific generation by its ID
Get concepts
Get all possible concepts
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Frequently Asked Questions
To start, connect both your Luma AI and Cassandra accounts to viaSocket. Once connected, you can set up a workflow where an event in Luma AI triggers actions in Cassandra (or vice versa).
Absolutely. You can customize how Luma AI data is recorded in Cassandra. This includes choosing which data fields go into which fields of Cassandra, setting up custom formats, and filtering out unwanted information.
The data sync between Luma AI and Cassandra 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 Luma AI and Cassandra. 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 Luma AI
Lumalabs AI is a cutting-edge platform that leverages artificial intelligence to provide innovative solutions for various industries. It focuses on enhancing productivity, automating processes, and delivering intelligent insights to drive business growth.
Learn MoreAbout Cassandra
Apache Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.
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