Connect Pinecone and Gumlet to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Pinecone
Choose an Action
Automatically do this!
Upload video
Create Asset
Update Video
Search Assets
Create Playlist
Search playlists
Create Collection
Delete Collection
Ready to use Pinecone and Gumlet automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Video Uploaded
Triggers when a new video is uploaded
Playlist Assets Created
Trigger when new playlist assets created.
Collections Created
Trigger when new Collections created.
New Video Asset
Returns video assets that were added to a specified Gumlet collection since the last check.
List Updated Videos
Retrieves video assets from the specified Gumlet collection that were created or updated since the configured scheduled time.
Do thisActions
Action is the task that follows automatically within your Pinecone integrations.
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.
Fetch Index by Name
Returns details and structure of a specified index.
Upload video
Upload a video to your gumlet account.
Create Asset
Create a new Asset.
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Frequently Asked Questions
To start, connect both your Pinecone and Gumlet accounts to viaSocket. Once connected, you can set up a workflow where an event in Pinecone triggers actions in Gumlet (or vice versa).
Absolutely. You can customize how Pinecone data is recorded in Gumlet. This includes choosing which data fields go into which fields of Gumlet, setting up custom formats, and filtering out unwanted information.
The data sync between Pinecone and Gumlet 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 Gumlet. 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 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.
Learn MoreAbout Gumlet
Gumlet is a powerful image and video optimization platform designed to deliver high-quality media content with minimal load times. It provides automatic resizing, compression, and delivery of images and videos, ensuring optimal performance across all devices and platforms.
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