
When this happens...

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 Cohere AI and Weaviate
Splits input text into smaller units called tokens.
This endpoint converts code tokens that use byte-pair encoding into normal text.
This endpoint generates text embeddings, numerical lists that represent text meaning.
Create a new data object collection.
Create a new tenant for a collection. Multi-tenancy must be enabled in the collection definition.
Remove a collection from the schema. This will also delete all the objects in the collection.
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To start, connect both your Cohere AI and Weaviate accounts to viaSocket. Once connected, you can set up a workflow where an event in Cohere AI triggers actions in Weaviate (or vice versa).
Absolutely. You can customize how Cohere AI 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 Cohere AI 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 Cohere AI 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.
Cohere AI offers cutting-edge natural language processing solutions, enabling developers to integrate advanced AI-powered text understanding and generation into their applications.
Learn MoreWeaviate 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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