Google Vertex AI and RAWG Video Games Database integration
How to connect Google Vertex AI and RAWG Video Games Database
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 RAWG Video Games Database integration
Create custom Google Vertex AI and RAWG Video Games Database 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 RAWG Video Games Database
List creator roles
Get a list of creator positions (jobs).
List creators
Get a list of game creators.
Get creator details
Get details of the creator.
List developers
Get a list of game developers.
Get developer details
Get details of the developer.
List games
Get a list of games.
List game additions
Get a list of DLC's for the game, GOTY and other editions, companion apps, etc.
List development team
Get a list of individual creators that were part of the development team.
List game series
Get a list of games that are part of the same series.
List game screenshots
Get screenshots for the game.
List game stores
Get links to the stores that sell the game.
Get game details
Get details of the game.
List game achievements
Get a list of game achievements.
List game trailers
Get a list of game trailers.
List game subreddit posts
Get a list of most recent posts from the game's subreddit.
List suggested games
Get a list of visually similar games, available only for business and enterprise API users.
List game Twitch streams
Get streams on Twitch associated with the game, available only for business and enterprise API users.
Get game videos from YouTube
Get videos from YouTube associated with the game, available only for business and enterprise API users.
List genres
Get a list of video game genres.
Get genre details
Get details of the genre.
List platforms
Get a list of video game platforms.
Get platform details
Get details of the platform.
List publishers
Get a list of video game publishers.
Get publisher details
Get details of the publisher.
Get details of the store
Retrieve information about a specific store using its ID.
Get a list of tags
Fetch a list of available tags for categorization.
Get details of the tag
Retrieve information about a specific tag using its ID.
To set up RAWG Video Games Database 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 RAWG Video Games Database 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 RAWG Video Games Database official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and RAWG Video Games Database 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.
Related categories
FAQ
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