Connect Weaviate and upviral to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Weaviate
Choose an Action
Automatically do this!
- Request a new Action for upviral
Enable Integrations or automations with these events of Weaviate and upviral
Enable Integrations or automations with these events of Weaviate and upviral
Actions
Create a New Object Class
Create a new data object collection.
Create a New Tenant
Create a new tenant for a collection. Multi-tenancy must be enabled in the collection definition.
Remove an Object Class
Remove a collection from the schema. This will also delete all the objects in the collection.
Delete Tenants From a Class
Delete Tenants From a Class
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Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
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- InstagramInstagram CaptionGenerate ImagePublish Photo with TaggingAdd Step
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- TwitterTwitter TweetPost a TweetAdd Step
- LinkedinLinkedin ArticleCreate a linkedin Article or URL postAdd Step
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Frequently Asked Questions
To start, connect both your Weaviate and upviral accounts to viaSocket. Once connected, you can set up a workflow where an event in Weaviate triggers actions in upviral (or vice versa).
Absolutely. You can customize how Weaviate data is recorded in upviral. This includes choosing which data fields go into which fields of upviral, setting up custom formats, and filtering out unwanted information.
The data sync between Weaviate and upviral 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 Weaviate and upviral. 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 Weaviate
Weaviate is an open-source vector search engine that allows you to store, search, and manage data in a highly efficient manner. It is designed to handle large-scale data sets and provides powerful tools for semantic search and data management.
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