Google Vertex AI and Salesforce integration

Save yourself the work of writing custom integrations for Google Vertex AI and Salesforce and use n8n instead. Build adaptable and scalable AI, workflows that work with your technology stack. All within a building experience you will love.

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How to connect Google Vertex AI and Salesforce

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 Salesforce integration

Create custom Google Vertex AI and Salesforce 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

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 here

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!

View workflow

Or explore 800+ other templates here

Salesforce supported actions

Google Vertex AI and Salesforce 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.

Using generic authentication

See Google Vertex AI integrations

Related categories

Salesforce

Salesforce is one of the best cloud-based CRM (Customer Relationship Management) platform. It is an integrated CRM that provides a single shared view of each customer for all the departments within an organization, such as Marketing, Sales, Commerce, and Service.

Salesforce node docs + examples

Salesforce credential docs

See Salesforce integrations

Related categories

Sales Communication

Other integrations with Salesforce

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Google Vertex AI and Salesforce integration tutorials

How to easily automate your Salesforce data import

Salesforce and other CRMs are built around the data they are being fed. This begs the question, where do we get this data from? Before switching to a CRM, it is common for organizations to have data pipelines of leads and customers stored in extant sources like spreadsheets and ERPs. These sources could store data that range from hundreds to billions. Thus, it is imperative that we explore some of the most efficient and effective ways to import data into Salesforce. And this is the crux of thi

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