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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Image
Triggers when a new image is generated.
New Template
Triggers when new template is created.
Update Template
Triggers when an existing template is updated.
Do thisActions
Action is the task that follows automatically within your Bannerbear integrations.
Create Image
Ganerate a new image
Join PDF Files
Join multiple PDF files into single PDF
Get an Image
Get a specific image by UID, or list all images if no UID is provided.
Create an index
Create an index for vectors created with an external embedding model.
Generate vectors
Generate vector embeddings for input data.
Delete an Index
Removes a specified index by its ID or name.
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Frequently Asked Questions
To start, connect both your Bannerbear and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Bannerbear triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Bannerbear 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 Bannerbear 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 Bannerbear 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 Bannerbear
Bannerbear helps you auto-generate social media visuals, e-commerce banners, dynamic email images, and more
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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