Dock Certs and Google Vertex AI integration
How to connect Dock Certs 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 Dock Certs and Google Vertex AI integration
Create custom Dock Certs 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 Dock Certs
Revoke credential
This event indicates a credential has been revoked.
Unrevoke credential
This event indicates a credential has been unrevoked.
Issue Credential
Issues a new verifiable credential.
Get Credential
Retrieves a specific credential by ID.
Delete Credential
Deletes a specific credential from the system.
List credentials
Gets one or many credentials resources
Create credential
This event indicates a credential has been created.
Create credential
This event indicates a credential has been issued.
Issue credential
You can create and sign Verifiable Credentials on Dock Certs and its API.
Get credential
Fetches the credential associated with the given ID.
Create credential
Creates and issues a JSON-LD Verifiable Credential.
Request claims
Creates a request to gather certain claims and issues a credential after submission.
Get credentials metadata
Pull a list of credential metadata stored by the system for easy reference.
Create DID
Creates a new Decentralized Identifier (DID).
Get DID
Retrieves a specific Decentralized Identifier (DID).
List DIDs
Lists all Decentralized Identifiers (DIDs).
Delete DID
Deletes a specific Decentralized Identifier (DID).
Create DID
This event indicates a DID has been created.
Update key for DID
This event indicates a keyType value within the DID has been updated.
Update controller for DID
This event indicates a controller value within the DID has been updated.
Delete DID
This event indicates a DID has been deleted.
Create DID
Create a new Decentralized Identifier (DID).
Get DID
Retrieve a specific DID's details by its identifier.
Export DID
Export a specific DID by its identifier.
List DIDs
Return a list of all DIDs that your user account controls as fully resolved DID documents.
Delete DID
Deletes a DID and its metadata from the blockchain and our platform.
Create Profile
Creates a new profile in the system.
Get Profile
Retrieves a specific profile by ID.
List Profiles
Lists all profiles in the system.
Update Profile
Updates an existing profile in the system.
Delete Profile
Deletes a specific profile from the system.
Create Profile
Creates a new Organization Profile using the provided data.
Get Profile
Retrieves the Profile associated with the provided DID.
List profiles
Return a list of all Profiles that your user account controls.
Update profile
The update profile operation means that you can update the details of the profile.
Create Presentation
Creates a new presentation of credentials.
Create presentation
Create and sign a verifiable presentation out of one or more Verifiable Credentials.
Create Registry
Creates a new registry for credentials.
Create Schema
Creates a new credential schema.
Create anchor
This event indicates an anchor has been created.
Create did
Creates a new DID to issue with.
To set up Dock Certs 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 Dock Certs 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 Dock Certs 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!
Dock Certs 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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