
When this happens...

Automatically do this!
Create Activity
Create Resource
When this happensTriggers
A trigger is an event that starts a workflow.
Triggers when a new collection is added or changed.
Triggers when a card is added or updated.
Triggers when a label is attached or detached from a card.
Triggers when a resource is attached or detached from a card.
Triggers when a new comment is added or changed.
Triggers when a card is deleted.
Action is the task that follows automatically within your Pinecone integrations.
Create an index for vectors created with an external embedding model.
Generate vector embeddings for input data.
Removes a specified index by its ID or name.
Returns details and structure of a specified index.
Create a new Activity.
Create a new resource.

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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 Pinecone and vPlan accounts to viaSocket. Once connected, you can set up a workflow where an event in Pinecone triggers actions in vPlan (or vice versa).
Absolutely. You can customize how Pinecone data is recorded in vPlan. This includes choosing which data fields go into which fields of vPlan, setting up custom formats, and filtering out unwanted information.
The data sync between Pinecone and vPlan 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 Pinecone and vPlan. 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.
Pinecone 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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