
When this happens...

Automatically do this!
Create an index
Generate vectors
Delete an Index
Fetch Index by Name
Enable Integrations or automations with these events of Sanity and Pinecone
Create a new project with a display name and optional organization ID
Modify an existing Sanity project's name, settings, or metadata.
Delete a specific project.
Update the details of specific role.
Delete a specific role by its id.
Create an index for vectors created with an external embedding model.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Sanity and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Sanity triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Sanity data is recorded in Pinecone. This includes choosing which data fields go into which fields of Pinecone, setting up custom formats, and filtering out unwanted information.
The data sync between Sanity and Pinecone 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 Sanity and Pinecone. 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.
Sanity is a platform for structured content that allows teams to build and manage digital experiences with ease. It provides a flexible and customizable content management system (CMS) that adapts to your needs, enabling seamless collaboration and efficient content delivery.
Learn MorePinecone is a vector database designed to provide fast and scalable similarity search and machine learning applications. It enables developers to build high-performance applications that require real-time vector search and retrieval, making it ideal for AI-driven solutions.
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