Google Vertex AI and Solve Data integration
How to connect Google Vertex AI and Solve Data
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 Google Vertex AI and Solve Data integration
Create custom Google Vertex AI and Solve Data 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 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!
Supported API Endpoints for Solve Data
List orders
Retrieve a list of orders.
Process order
Processes an order that has been created.
Cancel order
Cancels an existing order.
Return order
Processes a returned order.
Fulfill order
Marks an order as fulfilled.
Fail order fulfillment
Marks an order fulfillment as failed.
Check order fulfillment status
Checks the fulfillment status of an order.
Get payment status
Retrieves the payment status for an order.
List carts
Retrieve a list of shopping carts.
Add item to cart
Adds an item to the shopping cart.
Remove item from cart
Removes an item from the shopping cart.
List returns
Retrieve a list of returns.
List payments
Retrieve a list of payments.
List subscriptions
Retrieve a list of subscriptions.
List products
Retrieve a list of products.
List webhooks
Retrieve a list of webhooks.
List events
Retrieve a list of events.
Track email open
Tracks when an email is opened.
Queue event
Queue an event using the event input data.
List event schemas
Retrieve a list of event schemas.
Merge attributes
Merge various attributes for specified entities.
Handle cart abandoned event
Handle an event when a cart is abandoned.
Create an order
Create a new order.
Create a return
Create a new return for an item.
Delete an order
Delete an existing order.
Delete a return
Delete an existing return.
Perform search
Executes a search query.
List profiles
Retrieve the most recent profiles based on activity.
Create API Key
Create a new API Key via the GraphQL API.
List API keys
Returns all API keys as a connection object.
Create API key
Creates a new API key record and returns the created key.
Update API key
Updates an existing API key record referenced by its id.
Disable API key
Disables an existing API key record as referenced by its id.
Enable API key
Restores a currently archived API key record as referenced by its id.
Create API Key
Generates a new protected API key with a specified name.
Update API Key
Updates the name and notes of an existing API key.
Disable API Key
Disables an existing API key, preventing its use.
Enable API Key
Enables a previously disabled API key, allowing its use again.
Get Token
Gets an access token for a public API key using Basic authentication.
To set up Solve Data 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 Solve Data 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 Solve Data official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and Solve Data 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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