Cradl AI and Google Vertex AI integration
Save yourself the work of writing custom integrations for Cradl AI and Google Vertex AI and use n8n instead. Build adaptable and scalable Data & Storage, workflows that work with your technology stack. All within a building experience you will love.
How to connect Cradl AI 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 Cradl AI and Google Vertex AI integration
Create custom Cradl AI 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 Cradl AI
List appClients
Retrieve a list of app clients.
Retrieve appClient
Get details of a specific app client by ID.
List appClients
Retrieves a list of app clients.
Delete appClient
Deletes an existing app client by ID.
Update app client
Modify the details of a specific app client.
List assets
Retrieve a list of assets.
Retrieve asset
Get details of a specific asset by ID.
Get assets
Retrieve a list of assets.
Delete asset
Remove the specified asset from the collection.
Get asset
Retrieve a specific asset by its ID.
List datasets
Retrieve a list of datasets.
List datasets
Retrieve a list of all datasets.
Delete dataset
Deletes a dataset specified by its ID.
Get dataset transformations
Retrieves transformations for a specific dataset specified by its ID.
List documents
Retrieve a list of documents.
Delete documents
Delete specific documents based on provided criteria.
Create document
Uploads a new document to the system.
Get document
Retrieve a specific document by its ID.
List models
Retrieve a list of models.
List models
Retrieve a list of models.
Delete model
Delete a specified model by its ID.
Get model
Retrieve a model by its ID.
List data bundles for model
Retrieve data bundles associated with a specific model.
List data bundles
Retrieves a list of data bundles for a specific model.
Delete data bundle
Deletes a specific data bundle for a model.
List users
Retrieve a list of users.
List workflows
Retrieve a list of workflows.
Options transformations
Retrieve options for transformations of a specific dataset.
Create transformations
Create transformations for a specific dataset based on provided operations.
Delete transformation
Delete a specific transformation by its ID from a dataset.
List deployment environments
Retrieve a list of deployment environments.
Get deploymentEnvironment
Retrieve details of a specific deployment environment by ID.
Delete document
Deletes a document by its ID.
List logs
Retrieve a list of logs with optional filters.
Get log
Retrieve a specific log by its ID.
To set up Cradl 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 Cradl 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 Cradl AI 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.
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!
Cradl AI 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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