AITable.ai and Google Vertex AI integration
How to connect AITable.ai 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 AITable.ai and Google Vertex AI integration
Create custom AITable.ai 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 AITable.ai
List records
Fetches the list of records from AITable.
Create record
Creates a new record in AITable.
Update record
Updates an existing record in AITable.
Delete record
Deletes an existing record from AITable.
Get records
Retrieve a list of records from a datasheet.
Delete record
Remove a specific record from a datasheet.
Create record
Creates a new record in the system.
Update records
Updates existing records in the system.
Delete records
Deletes records from the system.
Update records
This interface is used to update the records in the specified datasheet.
List fields
Fetches the list of fields in AITable.
Create field
Creates a new field in AITable.
Delete field
Deletes an existing field from AITable.
Get fields
This interface is used to get information about all fields in the specified datasheet that you have permission to view.
Create field
This interface is used to create new fields in the specified datasheet.
List views
Fetches the list of views in AITable.
Create datasheet
Creates a new datasheet in AITable.
Create datasheet
Create a new datasheet in the system.
List spaces
Fetches the list of spaces in AITable.
List nodes
Fetches the list of nodes in AITable.
Search nodes
Searches for nodes in AITable.
Get node details
Retrieve details of a specified node.
Create embedded links
Create links for embedding purposes in nodes.
Get embedded links
Retrieve embedded links for nodes.
Delete embedded link
Delete a specified embedded link.
Get a member
Retrieves details of a specific member.
Update a member
Updates information of a specific member.
Delete a member
Deletes a specific member from AITable.
List team members
Get a list of members in a specific team.
Get field
Retrieve details about a specific field.
Create field
Add a new field to a datasheet.
Delete field
Remove a specific field from a datasheet.
Get view
Retrieve details about a specific view.
Upload attachment
Add an attachment to a record.
Get list of spaces
Retrieve a list of all spaces available.
Get node list
Retrieve a list of nodes within a space.
Create embedded links
Add embedded links to a specific node.
Get a member
Retrieve details about a specific member.
Create a team
Add a new team to the organization.
Upload attachment
Uploads an attachment to the specified record.
Upload attachment
This interface is used to upload an attachment and bind the attachment to a datasheet.
Delete record
Deletes a specific record from a datasheet.
Delete field
This interface is used to delete a specific field from a datasheet.
Get view
This interface is used to fetch all views of the specified datasheet.
Create datasheet
This interface is used to create a datasheet with the specified fields in the specified space.
List roles
Retrieves a list of all roles.
List units under the Role
Retrieves the units associated with a specific role.
Create a role
Creates a new role in the system.
Update a role
Updates an existing role's details.
Delete a role
Removes a role from the system.
List roles
Retrieve a list of all roles in a space.
To set up AITable.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 AITable.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 AITable.ai 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!
AITable.ai 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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