Deepgram and Google Vertex AI integration
How to connect Deepgram 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 Deepgram and Google Vertex AI integration
Create custom Deepgram 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 Deepgram
Stream audio
Submits audio for real-time transcription.
Transcribe audio
Use Deepgram's API to transcribe and analyze pre-recorded audio.
Get projects
Retrieve a list of projects.
Get project
Retrieve details of a specific project.
Update project
Update the details of a specific project.
Delete project
Delete a specific project.
Get keys
Retrieve a list of API keys.
Get key
Retrieve details of a specific API key.
Create key
Create a new API key.
Delete key
Delete a specific API key.
Get members
Retrieve a list of project members.
Remove member
Remove a member from a project.
Get invites
Retrieve a list of invitations.
Send invite
Send an invitation to a new member.
Delete invite
Delete a pending invitation.
Get all requests
Retrieve usage statistics for requests.
Get fields
Retrieve the fields available for usage statistics.
Summarize Usage
Provides a summary of usage statistics for the project.
Get balances
Retrieve current billing information.
Get Balance
Retrieve the balance for a specific account.
Get Credentials
Retrieve the list of credentials.
Get Credential
Retrieve details of a specific credential.
Create Credentials
Create a new credential.
Delete Credentials
Delete a specific credential.
Leave Project
User leaves a project they are currently a member of.
Update scope
Update the permissions of a specific scope.
Get member scopes
Retrieve the scopes associated with a member.
To set up Deepgram 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 Deepgram 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 Deepgram 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!
Deepgram 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.
Related categories
FAQ
Can Deepgram connect with Google Vertex AI?
Can I use Deepgram’s API with n8n?
Can I use Google Vertex AI’s API with n8n?
Is n8n secure for integrating Deepgram and Google Vertex AI?
How to get started with Deepgram and Google Vertex AI integration in n8n.io?
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