Connect Baseten and Weaviate to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Baseten
Choose an Action
Automatically do this!
Create a New Object Class
Create a New Tenant
Remove an Object Class
Delete Tenants From a Class
Enable Integrations or automations with these events of Baseten and Weaviate
Enable Integrations or automations with these events of Baseten and Weaviate
Actions
List Training Projects
List all training projects
Create Secret
Store a named secret value.
List All Secrets
Retrieve all Baseten secrets
List All Teams
Get all teams in your account
Create Training Project
Create a training project
Create a New Object Class
Create a new data object collection.
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Frequently Asked Questions
To start, connect both your Baseten and Weaviate accounts to viaSocket. Once connected, you can set up a workflow where an event in Baseten triggers actions in Weaviate (or vice versa).
Absolutely. You can customize how Baseten data is recorded in Weaviate. This includes choosing which data fields go into which fields of Weaviate, setting up custom formats, and filtering out unwanted information.
The data sync between Baseten and Weaviate 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 Baseten and Weaviate. 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 Baseten
Baseten is a platform that empowers developers to build, deploy, and manage machine learning models with ease. It provides tools for integrating AI capabilities into applications, streamlining the process from model creation to deployment.
Learn MoreAbout 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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