Google Vertex AI and NMKR integration
How to connect Google Vertex AI and NMKR
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 NMKR integration
Create custom Google Vertex AI and NMKR 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 NMKR
Create project
Creates a new project in the NMKR Studio.
Edit project
Edits an existing project in the NMKR Studio.
Create project
Create a new project.
Upload file and metadata
Upload a file along with its metadata to the project.
Create project
Create a project via NMKR Studio API
Upload file and metadata
Upload a file to your project along with optional metadata.
Delete token
Allows for the deletion of a specified token.
Burn token
Permits the burning of a specified token.
Update token
Allows for updating the token after it is minted or revealed.
Upload token
Uploads a single token to NMKR Studio.
Bulk Upload
Bulks uploads files and metadata for tokens.
Bulk upload files and metadata
Upload files and associated metadata in bulk.
Bulk upload via SFTP
Upload files and metadata via SFTP transfer.
Edit token
Edit existing token details.
Add token-specific metadata
Add specific metadata to a token.
Check metadata
Perform a check on the metadata of a token.
Duplicate token
Create a duplicate of an existing token.
Create new Prices
Enables the creation of new prices for sales.
Free Drops
Facilitates free drops in the sales process.
Custom Token payment
Allows for setting up custom token payment options.
Discounts
Enables the creation and management of discounts.
Set up Sales
Establish sales configuration for tokens.
Manage token sales conditions
Set conditions and whitelisting for token sales.
Set up NMKR Pay
Configure NMKR Pay for handling transactions.
Create Testnet Account
Creates a new account on the testnet.
Testnet Wallet & tADA
Manages the testnet wallet and tADA tokens.
Minting on Demand
Allows for minting tokens on demand.
Manual Minting
Permits manual minting of tokens.
Manual minting
Perform manual minting of NFTs.
Mint random token
Mint a token randomly selected out of your project to a specific wallet address.
Mint specific token
Mint and send a specific token of a project to a wallet address.
Airdrop with random distribution
Facilitates airdrops with a random distribution method.
Airdrop with specific distribution
Enables airdrops with a specified distribution method.
Create unique NMKR Pay Link for random token sales
Generate a unique pay link for random token sales.
Create NMKR Pay Link for specific token sales
Generate a pay link for specific token sales.
Get payment address for single NFT sales with native tokens
Retrieve payment address for single NFT sales using native tokens.
Create NMKR Pay Link for a multi-specific tokens sale
Generate a pay link for a multi-specific tokens sale.
Secondary sales via NMKR Pay
Handle secondary sales transactions through NMKR Pay.
Create NFT
Uploads an NFT along with its metadata.
To set up NMKR 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 NMKR 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 NMKR official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and NMKR 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
Can Google Vertex AI connect with NMKR?
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