Connect Mini Course Generator and Pinecone to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Learner
Triggers when a new learner is added to a collection.
Course Collection Completed
Triggers when a user completes a course collection.
Course Completed
Triggers when a user completes a course.
Do thisActions
Action is the task that follows automatically within your Mini Course Generator integrations.
List Course Collection
List course collections.
List Course
List course
Add Learner
Adds a learner to your course or collection.
Remove Learner
Removes a learner from the selected course collections.
Create an index
Create an index for vectors created with an external embedding model.
Generate vectors
Generate vector embeddings for input data.
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Frequently Asked Questions
To start, connect both your Mini Course Generator and Pinecone accounts to viaSocket. Once connected, you can set up a workflow where an event in Mini Course Generator triggers actions in Pinecone (or vice versa).
Absolutely. You can customize how Mini Course Generator 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 Mini Course Generator 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 Mini Course Generator 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 Mini Course Generator
Easily create & sell courses with Mini Course Generator. Ideal for educators & creators seeking automated ways to boost learner engagement.
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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