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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Entry
Triggers when a new entry is created in a Contentful space.
Do thisActions
Action is the task that follows automatically within your Contentful integrations.
Create Entry
Creates a new entry in a Contentful space.
Publish Entry
Publishes an entry to make it available to the Content Delivery API.
Create Asset
Creates a new asset in a Contentful space.
Publish Asset
Publishes an asset to make it available to the Content Delivery API.
Get Spaces
Get list of all spaces in an organization.
Create an index
Create an index for vectors created with an external embedding model.
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Frequently Asked Questions
To start, connect both your Contentful and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Contentful triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Contentful 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 Contentful 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 Contentful 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.
About Contentful
Contentful is a content management system (CMS) that allows you to create, manage, and distribute content across multiple platforms. It provides a flexible and scalable solution for managing digital content, making it easy for teams to collaborate and deliver engaging experiences.
Learn MoreAbout Pinecone
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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