Connect Cohere AI and Weaviate to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Cohere AI
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 Cohere AI and Weaviate
Enable Integrations or automations with these events of Cohere AI and Weaviate
Actions
Tokenize Text
Splits input text into smaller units called tokens.
Detokenize Text
This endpoint converts code tokens that use byte-pair encoding into normal text.
Embed Text
This endpoint generates text embeddings, numerical lists that represent text meaning.
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.
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Automate Instagram Comment Replies with Smart DMs
- text is aiReplytoCommentSend a Private ReplyAdd Step
- Is guide commentReplytoComment GuideSend a Private Reply GuideAdd Step
- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
- Send for rejectMail for RejectionAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
- has responseSendDMMessageAdd Step
- Notify teamSendMailAdd Step
- has reactSendDMMessage ReactAdd Step
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Frequently Asked Questions
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.
About Cohere AI
Cohere AI offers cutting-edge natural language processing solutions, enabling developers to integrate advanced AI-powered text understanding and generation into their applications.
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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