Google Vertex AI and Apollo Integration

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Enrich Apollo data using Google Vertex AI's insights, and build AI-powered lead scoring tailored to your business. Latenode's visual editor and affordable execution-based pricing make it easy to customize and scale your AI-driven sales intelligence workflows.

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Google Vertex AI

Apollo

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Apollo

Create a New Scenario to Connect Google Vertex AI and Apollo

In the workspace, click the “Create New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or Apollo will be your first step. To do this, click "Choose an app," find Google Vertex AI or Apollo, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node

Select the Google Vertex AI node from the app selection panel on the right.

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Configure the Google Vertex AI

Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Apollo Node

Next, click the plus (+) icon on the Google Vertex AI node, select Apollo from the list of available apps, and choose the action you need from the list of nodes within Apollo.

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Authenticate Apollo

Now, click the Apollo node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Apollo settings. Authentication allows you to use Apollo through Latenode.

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Configure the Google Vertex AI and Apollo Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Google Vertex AI and Apollo Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Google Vertex AI, Apollo, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking “Run once” and triggering an event to check if the Google Vertex AI and Apollo integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Apollo (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Google Vertex AI and Apollo

Apollo + Google Vertex AI + Google Sheets: When a contact is updated in Apollo, analyze the latest engagement data using Google Vertex AI to determine customer sentiment. Log the contact's name and sentiment score in a Google Sheet for reporting and tracking customer engagement.

Apollo + Google Vertex AI + Slack: Upon a new contact creation in Apollo, summarize the contact's key details and potential talking points using Google Vertex AI. Post these talking points to a designated Slack channel to inform the sales team about the new prospect.

Google Vertex AI and Apollo integration alternatives

About Google Vertex AI

Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.

About Apollo

Need precise location data? Integrate Apollo into Latenode workflows to automatically geocode addresses or enrich customer profiles with location insights. Automate data validation and routing based on geographic parameters. Use Latenode's visual editor to build scalable location-aware processes without complex coding.

See how Latenode works

FAQ Google Vertex AI and Apollo

How can I connect my Google Vertex AI account to Apollo using Latenode?

To connect your Google Vertex AI account to Apollo on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Google Vertex AI and click on "Connect".
  • Authenticate your Google Vertex AI and Apollo accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I enrich Apollo contacts with AI-powered insights?

Yes, you can! Latenode lets you seamlessly enrich Apollo contacts with Google Vertex AI insights, enhancing lead quality and personalization via AI-driven data enrichment.

What types of tasks can I perform by integrating Google Vertex AI with Apollo?

Integrating Google Vertex AI with Apollo allows you to perform various tasks, including:

  • Automate lead scoring using AI-driven predictive analytics.
  • Generate personalized email copy for Apollo contacts.
  • Extract key insights from sales calls using speech-to-text.
  • Automatically update contact information based on AI analysis.
  • Create targeted segments based on AI-powered lead qualification.

Can I use custom AI models with my Apollo data in Latenode?

Yes! Latenode allows you to integrate custom Google Vertex AI models, enabling highly specific and AI-driven automation within Apollo workflows.

Are there any limitations to the Google Vertex AI and Apollo integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Large data transfers may impact workflow execution time.
  • API usage is subject to Google Vertex AI and Apollo rate limits.
  • Custom JavaScript code requires developer knowledge.

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