Save yourself the work of writing custom integrations for Freshservice and Google Vertex AI and use n8n instead. Build adaptable and scalable Productivity, workflows that work with your technology stack. All within a building experience you will love.
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 Freshservice and Google Vertex AI 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.
Create
Create an agent
Delete
Delete an agent
Get
Retrieve an agent
Get Many
Retrieve many agents
Update
Update an agent
Create
Create an agent group
Delete
Delete an agent group
Get
Retrieve an agent group
Get Many
Retrieve many agent groups
Update
Update an agent group
Get
Retrieve an agent role
Get Many
Retrieve many agent roles
Create
Create an announcement
Delete
Delete an announcement
Get
Retrieve an announcement
Get Many
Retrieve many announcements
Update
Update an announcement
Create
Create an asset type
Delete
Delete an asset type
Get
Retrieve an asset type
Get Many
Retrieve many asset types
Update
Update an asset type
Create
Create a change
Delete
Delete a change
Get
Retrieve a change
Get Many
Retrieve many changes
Update
Update a change
Create
Create a department
Delete
Delete a department
Get
Retrieve a department
Get Many
Retrieve many departments
Update
Update a department
Create
Create a location
Delete
Delete a location
Get
Retrieve a location
Get Many
Retrieve many locations
Update
Update a location
Create
Create a problem
Delete
Delete a problem
Get
Retrieve a problem
Get Many
Retrieve many problems
Update
Update a problem
Create
Create a product
Delete
Delete a product
Get
Retrieve a product
Get Many
Retrieve many products
Update
Update a product
Create
Create a release
Delete
Delete a release
Get
Retrieve a release
Get Many
Retrieve many releases
Update
Update a release
Create
Create a requester
Delete
Delete a requester
Get
Retrieve a requester
Get Many
Retrieve many requesters
Update
Update a requester
Create
Create a requester group
Delete
Delete a requester group
Get
Retrieve a requester group
Get Many
Retrieve many requester groups
Update
Update a requester group
Create
Create a software application
Delete
Delete a software application
Get
Retrieve a software application
Get Many
Retrieve many software applications
Update
Update a software application
Create
Create a ticket
Delete
Delete a ticket
Get
Retrieve a ticket
Get Many
Retrieve many tickets
Update
Update a ticket
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!
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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