In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Google Vertex AI and Teachable workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
Generate content
This endpoint generates content based on the input provided.
Call function
This endpoint allows for calling functions as part of the generative tasks.
Ground content
This endpoint grounds the content to ensure relevance and context.
List API errors
This endpoint retrieves potential API errors that can occur during requests.
Generate text embeddings
This endpoint generates embeddings for given text inputs.
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
Use code completions
API for generating code completion suggestions.
Perform batch predictions
API for executing batch predictions on data.
Batch prediction
API for performing batch prediction.
Tune models
API for tuning machine learning models.
Tuning model parameters
API for tuning model parameters.
Rapid evaluation
API for quickly evaluating model performance.
Evaluate model performance
API for rapid evaluation of models.
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
Manage extensions
API for managing custom extensions.
Manage extensions
API for handling extensions.
Count tokens
API for counting tokens in text inputs.
Use reasoning engine
API for performing reasoning tasks.
Utilize reasoning engine
API for using the reasoning engine capabilities.
Use MedLM API
API for accessing medical language models.
Access MedLM
API for accessing MedLM functionality.
Generate and edit images
API for generating and editing images.
Access LlamaIndex
API for accessing LlamaIndex functionality.
Count tokens
API for counting tokens in text.
To set up Google Vertex AI integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Google Vertex AI to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Google Vertex AI official documentation to get a full list of all API endpoints and verify the scraped ones!
List courses
Retrieve a list of all courses.
Show course
Retrieve details of a specific course by ID.
Show course enrollments
Retrieve a list of enrollments for a specific course by ID.
Show lecture
Retrieve details of a specific lecture in a course by ID.
Mark lecture complete
Mark a specific lecture as complete for a course by ID.
Show course progress
Retrieve progress information for a specific course by ID.
List user courses
Get the courses for the current user.
Show course progress
Retrieve progress for a specific course.
Mark lecture complete
Mark a specific lecture as complete for a course.
List course lectures
Get lectures for a specific course.
Get video
Retrieve a specific video from a course lecture.
Get lecture
Retrieve information about a specific lecture in a course.
Get course details
Retrieve details of a specific course.
Get user information
Retrieve information about the current user.
Get quiz responses
Retrieve responses to a specific quiz in a course lecture.
Show quizzes
Retrieve information about quizzes in a course lecture.
Create user
Create a new user account.
Show user
Retrieve details of a specific user by ID.
List users
Get a list of all users.
Enroll user
Enroll a user in a specific course.
Unenroll user
Unenroll a user from a specific course.
List webhooks
Retrieve a list of all webhooks.
Show webhook events
Retrieve events for a specific webhook by ID.
List transactions
Retrieve a list of all transactions.
List pricing plans
Retrieve a list of all pricing plans available.
Show pricing plans
Retrieves a pricing plan by ID.
To set up Teachable integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Teachable to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Teachable official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI is a unified machine learning platform that enables developers to build, deploy, and manage models efficiently. It provides a wide range of tools and services, such as AutoML and datasets, to accelerate the deployment of AI solutions.
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