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 SimpleLocalize 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.
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!
Add translation
Add translations to the project.
Read translations
Fetch translations from the project.
Update translation
Update existing translations in the project.
Delete translation
Delete specific translation keys from the project.
Import translations
Import translations from a file.
Export translations
Export translations to a file.
Auto-translate
Automatically translate your project's texts.
Update translation
This endpoint allows you to update translations in your project.
Publish translations
This endpoint publishes translations to make them available publicly.
Get all translations
Fetches all translations for the specified project and environment.
Get translations by language key
Fetches translations for a specific language key.
Get translations by language key and namespace
Fetches translations filtered by language key and namespace.
Get translations by language key, namespace and customerId
Fetches translations filtered by language key, namespace, and customer ID.
Get customer-specific translations
Fetches translations that are customer-specific for a given language key.
Search translations
Searches for translations based on provided query parameters.
Create translation key
This endpoint allows you to add new translation keys to your project.
Delete translation key
This endpoint allows you to delete a translation key with its translations.
Customer API
This endpoint provides access to customer-specific APIs.
Language API
This endpoint provides access to language-specific APIs.
Get languages
Retrieves a list of available languages for the project and environment.
Translation project management
This endpoint allows you to manage translation projects.
Get customers
Retrieves a list of customers associated with the project and environment.
To set up SimpleLocalize 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 SimpleLocalize 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 SimpleLocalize 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.
Can Google Vertex AI connect with SimpleLocalize?
Can I use Google Vertex AI’s API with n8n?
Can I use SimpleLocalize’s API with n8n?
Is n8n secure for integrating Google Vertex AI and SimpleLocalize?
How to get started with Google Vertex AI and SimpleLocalize integration in n8n.io?
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