
When this happens...
New Client Is Created
Client Is Updated
Client Is Deleted
New Invoice Is Created
Invoice Updated
New Job Is Created
Job Is Closed
Job Is Updated
New Quote Is Created
Quote Approved
Quote Sent
New Request Created

Automatically do this!
Create an index
Generate vectors
Delete an Index
Fetch Index by Name
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when new client is created
Runs when client is updated
Runs when Client Is Deleted
Runs when New Invoice Is Created
Runs when invoice is updated
Runs when new job is created
Action is the task that follows automatically within your Jobber 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.

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To start, connect both your Jobber and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Jobber triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Jobber 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 Jobber 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 Jobber 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.
Jobber is the command centre for home service businesses. Our easy-to-use app powers sales, operations, and customer service—all in one place.
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.
Learn More