Back to integrations
Facebook Graph API and Google Vertex AI connection
Save yourself the work of writing custom integrations for Facebook Graph API and Google Vertex AI and use n8n instead. Build adaptable and scalable Development, workflows that work with your technology stack. All within a building experience you will love.
Ways to connect Facebook Graph API 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.
Create your own Facebook Graph API and Google Vertex AI connection
Create custom Facebook Graph API + Google Vertex AI automations 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
POST
Generate content
This endpoint generates content based on the input provided.
/vertex-ai/generative-ai/docs/model-reference/inference
POST
Call function
This endpoint allows for calling functions as part of the generative tasks.
/vertex-ai/generative-ai/docs/model-reference/function-calling
POST
Ground content
This endpoint grounds the content to ensure relevance and context.
/vertex-ai/generative-ai/docs/model-reference/grounding
GET
List API errors
This endpoint retrieves potential API errors that can occur during requests.
/vertex-ai/generative-ai/docs/model-reference/api-errors
POST
Generate text embeddings
This endpoint generates embeddings for given text inputs.
/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api
POST
Generate multimodal embeddings
This endpoint generates embeddings that leverage multiple modalities.
/vertex-ai/generative-ai/docs/model-reference/multimodal-embeddings-api
POST
Generate and edit images
This endpoint is used for generating and editing images based on input specifications.
/vertex-ai/generative-ai/docs/model-reference/imagen-api
GET
Use code completions
API for generating code completion suggestions.
/vertex-ai/generative-ai/docs/model-reference/code-completion
GET
Perform batch predictions
API for executing batch predictions on data.
/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api
POST
Batch prediction
API for performing batch prediction.
/vertex-ai/generative-ai/docs/model-reference/batch-prediction-api
GET
Tune models
API for tuning machine learning models.
/vertex-ai/generative-ai/docs/model-reference/tuning
POST
Tuning model parameters
API for tuning model parameters.
/vertex-ai/generative-ai/docs/model-reference/tuning
GET
Rapid evaluation
API for quickly evaluating model performance.
/vertex-ai/generative-ai/docs/model-reference/evaluation
POST
Evaluate model performance
API for rapid evaluation of models.
/vertex-ai/generative-ai/docs/model-reference/evaluation
GET
Use LlamaIndex
API for accessing the LlamaIndex for retrieval-augmented generations.
/vertex-ai/generative-ai/docs/model-reference/rag-api
GET
Manage extensions
API for managing custom extensions.
/vertex-ai/generative-ai/docs/model-reference/extension
POST
Manage extensions
API for handling extensions.
/vertex-ai/generative-ai/docs/model-reference/extension
GET
Count tokens
API for counting tokens in text inputs.
/vertex-ai/generative-ai/docs/model-reference/count-tokens
GET
Use reasoning engine
API for performing reasoning tasks.
/vertex-ai/generative-ai/docs/model-reference/reasoning-engine
POST
Utilize reasoning engine
API for using the reasoning engine capabilities.
/vertex-ai/generative-ai/docs/model-reference/reasoning-engine
GET
Use MedLM API
API for accessing medical language models.
/vertex-ai/generative-ai/docs/model-reference/medlm
POST
Access MedLM
API for accessing MedLM functionality.
/vertex-ai/generative-ai/docs/model-reference/medlm
POST
Generate and edit images
API for generating and editing images.
/vertex-ai/generative-ai/docs/model-reference/code-completion
POST
Access LlamaIndex
API for accessing LlamaIndex functionality.
/vertex-ai/generative-ai/docs/model-reference/rag-api
POST
Count tokens
API for counting tokens in text.
/vertex-ai/generative-ai/docs/model-reference/count-tokens
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.
See the example hereThese 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!
Facebook Graph API and Google Vertex AI connection details
Facebook Graph API
Facebook needs no introduction. It is an online social networking and media service that gathers people from all parts of the world, from different backgrounds, and allows them to promote their businesses and services, share, react to and comment on all types of content, and communicate and message their friends.
Facebook Graph API node docs + examples
Facebook Graph API credential docs
See Facebook Graph API integrations
Related categories
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
Other integrations with Facebook Graph API
FAQs
FAQ
Can Facebook Graph API work together with Google Vertex AI in n8n Lab?
Can I use Facebook Graph API’s API with n8n Lab?
Can I use Google Vertex AI’s API with n8n Lab?
Is n8n Lab a secure option for connecting Facebook Graph API with Google Vertex AI?
How do I start building Facebook Graph API + Google Vertex AI automation in n8n Lab?
Need help setting up your Facebook Graph API and Google Vertex AI connection?
Discover our latest community's recommendations and join the discussions about Facebook Graph API and Google Vertex AI connection.
Instagram DMs webhooks work only in test mode
Nicolas Almazan
I am having an issue when receiving direct messages on Instagram in LIVE mode within my workflow. I have Webhooks and HTTP requests configured in my workflow, but they are only triggered when I send direct messages from…
Best way to get leads from META?
Cristian Martanov
Hello! I have seen that there is a direct extractor of leads from META: Facebook Lead Ads Trigger, but there is also Graph API, which I think can also extract leads From what Im getting from online tutorials, this Facebo…
A widely adopted workflow orchestration workspace trusted by technical teams including
Why use n8n to connect Facebook Graph API with Google Vertex AI
Build complex workflows, really fast
