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When this happensTriggers
A trigger is an event that starts a workflow.
Fetch completed test series for the selected website created within the recent lookback window.
Action is the task that follows automatically within your Pagevitals integrations.
Start a performance test series for your website
Start a PageVitals multistep test for a chosen website and test, and return the test run ID.
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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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 Pagevitals and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Pagevitals triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Pagevitals 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 Pagevitals 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 Pagevitals 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.
Pagevitals is a comprehensive tool designed to enhance website performance by analyzing key metrics and providing actionable insights. It helps businesses optimize their web pages for better speed, user experience, and search engine rankings.
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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