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 Pivotal Tracker 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 accounts
Retrieve a list of accounts associated with the user.
List activities
Fetch the activity history for the specified project.
Create attachment
Upload an attachment to a specified story or comment.
Create comment
Add a comment to a specified story.
List epics
Retrieve the list of epics associated with a project.
Create story
Create a new story in a project.
List labels
Retrieve all labels associated with a project.
List iterations
Fetch the list of iterations for a project.
List workspaces
Retrieve the workspaces associated with the user.
Create release
Create a new release in a project.
Get current user
Retrieve the current user's account information.
Get profile
Returns information from the user's profile plus the list of projects to which the user has access.
Get me
Retrieve the authenticated user's information.
List blockers
Retrieve a list of blockers in the project.
Update project
Update the details of a specified project.
List notifications
Retrieve notifications associated with the user's account.
List notifications
Returns a list of the notifications for the authenticated person, sorted by creation time.
Mark notifications as read
Marks all notifications read before a notification id.
Mark notifications read
Marks a list of notifications read.
List notifications since timestamp
Returns list of the notifications for the specified person whose updated_at values are less than the timestamp.
Mark notification as read
Access the notification specified by the notification_id value in the URL.
Create story task
Add a task to a specified story.
List people
Access a list of all the people you know.
Create person
Add a new person to your known people list.
Create person
This endpoint allows you to create new known people in the project.
Get all active projects
Access a user's projects.
List projects
Retrieve a list of projects for a specific account.
Create project
Creates a new project with the specified attributes.
Fetch project
Fetches the content of the specified project.
Delete project
Deletes a specific project by its ID.
List iterations
Returns a set of iterations from the project.
To set up Pivotal Tracker 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 Pivotal Tracker 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 Pivotal Tracker 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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