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 HUB Planner 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.
See the example hereThese 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!
Get all projects
This call will return all projects.
Search projects
Search for projects based on their status.
Get specific project
Retrieve a specific project by its ID.
Create project
Create a new project with the provided details.
Fetch custom field templates
Fetch templates defined for your account.
Search custom fields
Search for custom fields based on their type.
Bulk update projects
Updates multiple projects in a single request.
Delete project
Deletes a specific project by id.
Add resource to project
Adds a resource to a specific project identified by projectId.
Remove resource from project
Removes a resource from a specific project identified by resourceId.
Add clients to project
Adds clients to a specific project identified by projectId.
Remove client from projects
Removes a client from specific projects identified by clientId.
Set project managers
Sets project managers for a specific project identified by projectId.
Get all project tags
Retrieves all tags for a specific project identified by its ID.
Remove project tag from project
Removes a specific tag from a project identified by its ID.
Get all bookings
Retrieve a paginated list of all bookings.
Retrieve deleted bookings
Retrieve deleted bookings using the query parameter deleted.
Retrieve booking dependencies
Retrieve booking dependencies using the query parameter dependencies.
Search bookings
Search allows to get more complex results based on given criteria.
Get specific booking
Get a specific booking by its ID.
Create a new booking
Create a new booking with minimum required fields.
Update booking
Update an existing booking.
Delete booking
Delete a specific booking by id.
Delete multiple bookings
Delete multiple bookings by booking IDs, resourceId or projectId.
Delete multiple bookings by resourceId
Delete all bookings for the resource with ID.
Delete multiple bookings by projectId
Delete all bookings for the project with ID.
List events
Call will return all projects.
Search events
Search events by name.
Get specific event
Use the following command to get a specific event by ID.
Update event
Update an existing event by ID with the complete event object.
Get all holidays
Retrieves a list of all holidays.
Search holidays
Searches for holidays within a specified date range.
Get specific holiday
Retrieves details of a specific holiday by ID.
Update a holiday
Updates an existing holiday by ID.
Get milestone
Retrieve a specific milestone by its ID.
Search milestones
Search for milestones based on specific parameters.
Create milestone
Create a new milestone with the required fields.
Update milestone
Update an existing milestone by its ID.
To set up HUB Planner 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 HUB Planner to query the data you need using the API endpoint URLs you provide.
See the example hereThese 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 HUB Planner 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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