Cloud Convert and Google Vertex AI integration
How to connect Cloud Convert and Google Vertex AI
Create a new workflow and add the first step
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.
Build your own Cloud Convert and Google Vertex AI integration
Create custom Cloud Convert 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.
Supported API Endpoints for Cloud Convert
Create task
Creates a new task in the system.
Show a task
Retrieves details of a specific task.
Wait for a task Sync
Waits for a task to complete and returns the result.
Cancel a task
Cancels a specific task that is pending or running.
Retry a task
Retries a failed task.
Create task
Add operation to create tasks.
Wait task
EndPoint to wait until a task completes.
Show a task
Retrieves a specific task by its ID.
Wait for a task Sync
Waits for a task to complete and retrieves the result.
Cancel a task
Cancels a specific task by its ID.
Retry a task
Retries a specific task by its ID.
Create job
Creates a new job in the system.
Show a job
Retrieves details of a specific job.
Wait for a job Sync
Waits for a job to complete and returns the result.
Create job
Allows you to create a new job for processing files.
Wait job
Endpoint to wait until a job completes.
Show a job
Retrieves a specific job by its ID.
Wait for a job Sync
Waits for a job to complete and retrieves the result.
Create job and wait Sync
Creates a job and waits for its completion.
Wait for job
Wait for a CloudConvert job to complete.
Download file
Download the output file once the job is finished.
Create task
Create a task for file conversion.
List supported formats
List all supported formats for conversion.
Convert file
Creates a task for file conversion.
Create task
Create a task for file optimization.
Create task
Create a task to add watermarks to files.
Create task
Create a task to capture a website.
Create task
Create a task to generate thumbnails.
Create thumbnail
Endpoint to create thumbnails of nearly any video, documents or image format.
Extract metadata
Extract metadata from a file.
Write metadata
Write metadata to a file.
Write metadata
Operation to write metadata.
Get metadata
Operation to extract file metadata such as page numbers or image/video resolution.
Extract metadata
Retrieves metadata from a specified file.
Create task
Create a task to merge files.
Create task
Create a task to create archives.
Create task
Create a task to execute commands.
Task from URL
Import a file via URL.
Upload files
Upload requests from import/upload tasks.
Export to URL
Export the file to a specified URL.
Show current user
Retrieve data on the current user.
Create a webhook
Create a new webhook.
Create archive
Operation to create archives.
To set up Cloud Convert 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 Cloud Convert 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 Cloud Convert official documentation to get a full list of all API endpoints and verify the scraped ones!
Supported API Endpoints for Google Vertex AI
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!
Cloud Convert and Google Vertex AI integration details
Google Vertex AI
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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FAQ
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