Google Vertex AI and Pipefy integration
How to connect Google Vertex AI and Pipefy
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 Pipefy integration
Create custom Google Vertex AI and Pipefy 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 Pipefy
Create card
Creates a new card in the specified pipe.
Import cards
Imports multiple cards to the specified pipe.
Delete card
Deletes a card by its ID.
Move card to phase
Moves a card to a specified phase.
Update card
Updates an existing card
Lookup card by ID
Lookup a card by its ID
Fetch group of cards
Fetches a group of cards based on arguments
Fetch cards importer history
Lookup the cards importer history by the pipe ID
Fetch cards based on inputs
Fetch cards based on fields' inputs
Create comment
Creates a comment on a specific card.
Delete comment
Deletes a specific comment.
Create label
Creates a new label in the specified organization.
Delete label
Removes a specific label.
Update label
Modifies the attributes of a label.
Create organization
Creates a new organization.
Delete organization
Deletes a specific organization.
List organizations
Endpoint for retrieving a list of organizations.
Create phase
Creates a new phase within a specified pipe.
Delete phase
Removes a specific phase from a pipeline.
Create pipe
Creates a new pipe.
List pipes
Endpoint for retrieving a list of pipes.
Create table
Creates a new table in the specified organization.
Delete table
Deletes a specific table.
List database tables
Endpoint for retrieving a list of database tables.
Create table record
Creates a new record in the specified table.
Create webhook
Creates a new webhook for the specified organization.
Delete organization webhook
Deletes a specific webhook for an organization.
Update webhook
Updates an existing webhook.
Create webhook
Endpoint for creating webhooks to receive real-time updates.
Delete field condition
Removes a specific field condition.
Delete inbox email
Deletes an inbox email configuration.
Delete pipe
Deletes a specific pipe.
Remove user from organization
Removes a user from a specified organization.
List users
Endpoint for retrieving a list of users.
Set role
Assigns a specific role to a user.
Update field condition
Updates an existing field condition.
Create card relation
Establishes a relationship between two cards.
Update record
Updates details of a specific record.
Create authentication
Endpoint for creating authentication tokens.
Create service account
Endpoint for creating service accounts for authentication.
Create personal access token
Endpoint for creating personal access tokens for user authentication.
Example query
An example endpoint for making GraphQL requests.
Import records
Endpoint for importing records into the system.
Import cards
Endpoint for importing cards into the system.
Import records
Endpoint for importing records into the system.
Create organization webhook
Endpoint for creating webhooks specific to organizations.
Create pipe and table webhook
Endpoint for creating webhooks for pipes and tables.
List table records
Endpoint for retrieving a list of records for a specific table.
To set up Pipefy 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 Pipefy 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 Pipefy official documentation to get a full list of all API endpoints and verify the scraped ones!
Google Vertex AI and Pipefy 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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