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 SwagUp 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!
List proofs
Return all the proofs available for the account associated with the authenticated user.
List proofs sizes
Return all the proofs sizes available.
Get proof size
Return a given proof size.
Get proof
Return a given proof.
List comments
Return all the comments available.
Read comment
Return a given comment.
Create shipping prices
Get shipping prices based on packages/bulk items to be delivered + shipping_category + destination address.
List account orders
Return all the Account Orders.
Create account order
Create an Account Order.
List directory orders
Return all the Directory Orders filtered by account id.
Get directory order
Return a given Directory Order.
Get account order
Return a given Account Order.
Create account product price
Create a account product prices.
List account products
Return all the account products available.
Update account product
Update a given account product.
List account product comments
Return all the comment statuses available.
List comment statuses
Return all the comment statuses available.
List orders
Get all the account orders given an account product.
Read comment status
Return a given comment status.
List accounts
Return all the accounts available.
List payment profiles
List all payment profiles for and specific account
Update payment profile
Update payment profile
Get account
Return a given account.
Create authorization for credit card
Create authorization for credit card
List available filters
List available filters
List base products
List base products
Get base product
Get base product
List bulk employee orders
List bulk employee orders
Get bulk employee order
Get bulk employee order
Cancel subscription
Cancel subscription
List catalog files
List catalog files
Get catalog file
Retrieve a catalog file by ID.
Create charge credit card
Charge a credit card with the provided data.
List contact groups
Retrieve a list of contact groups.
Get contact group
Retrieve a contact group by ID.
List countries
Return all the countries available.
Get country
Return a given country by ID.
List credits
Retrieve a list of credits.
Read credit
Retrieve a specific credit by its unique identifier.
List credit summaries
Retrieve summary of credits.
List delivery methods
Return all the delivery methods available.
Get delivery method
Return a given delivery method.
List contacts
Retrieve all contacts.
Get contact
Return a given contact.
Create employee order
Creates a new Employee Order.
Get employee order
Return a given Employee Order.
List employees
Retrieve all employees.
Get employee
Return a given employee.
List filters
Return a list of filters.
List inventory histories
Return a list of inventory histories.
To set up SwagUp 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 SwagUp 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 SwagUp 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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