Flotiq and Google Vertex AI integration
How to connect Flotiq 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 Flotiq and Google Vertex AI integration
Create custom Flotiq 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 Flotiq
List content types
Retrieves a list of all content types available.
Create content type
Creates a new content type.
Update content type
Updates an existing content type.
Get single content type
Retrieves details of a specific content type.
Delete content type
Deletes a specific content type.
Create content type
Create a new content type definition.
Get content type
Retrieve a specific content type definition.
Update content type
Update an existing content type definition.
Delete content type
Delete an existing content type definition.
Create content type
Creates a new content type for the application.
Update content type
Updates an existing content type in the application.
List content types
Retrieves a list of all content types available in the application.
Get single content type
Retrieves a specific content type by its ID.
Delete content type
Deletes a specified content type from the application.
Create content type
Creates a new content type definition via API.
Update content type
Updates an existing content type definition.
List content types
Retrieves a list of content type definitions.
Get single content type
Retrieves a single content type definition by ID.
Delete content type
Deletes a specific content type definition by ID.
List content objects
Retrieves a list of all content objects.
Create content object
Creates a new content object.
Update content object
Updates an existing content object.
Get single content object
Retrieves details of a specific content object.
Delete content objects
Deletes a specific content object.
Create content object
Creates a new content object in the application.
Update content object
Updates an existing content object in the application.
List content objects
Retrieves a list of all content objects available in the application.
Get single content object
Retrieves a specific content object by its ID.
Delete content object
Deletes a specified content object from the application.
List deleted content objects
Retrieves a list of all deleted content objects.
Create content object
Creates a new content object based on a content type.
Update content object
Updates an existing content object.
List content objects
Retrieves a list of content objects.
Get single content object
Retrieves a single content object by ID.
Delete content object
Deletes a specific content object by ID.
Retrieve content object
Retrieve the schema of a specific Content Object by sending a GET request.
Delete content object
Delete a specific Content Object identified by its ID.
Retrieve GraphQL schema
Retrieve the GraphQL schema that describes your data.
Execute GraphQL queries
Execute GraphQL queries to retrieve specific data.
Get blogposts
Retrieve details of blogposts content type.
Create content type
Create a new Content Type Definition in the system.
Update content type
Updates the definition of the specified content type using a PUT request.
Update blogposts
Updates the schema definition for blog posts.
To set up Flotiq 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 Flotiq 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 Flotiq 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!
Flotiq 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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