Google Vertex AI and Google Programmable Search Engine Integration

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Automate content analysis: use Google Programmable Search Engine to gather data, then Google Vertex AI to analyze it. Latenode’s visual editor and flexible JavaScript nodes make custom AI workflows easier and more affordable than ever.

Google Vertex AI + Google Programmable Search Engine integration

Connect Google Vertex AI and Google Programmable Search Engine in minutes with Latenode.

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Google Programmable Search Engine

Create a New Scenario to Connect Google Vertex AI and Google Programmable Search Engine

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 Google Programmable Search Engine will be your first step. To do this, click "Choose an app," find Google Vertex AI or Google Programmable Search Engine, 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 Google Programmable Search Engine Node

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

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Authenticate Google Programmable Search Engine

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

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Configure the Google Vertex AI and Google Programmable Search Engine 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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Set Up the Google Vertex AI and Google Programmable Search Engine 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, Google Programmable Search Engine, 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 Google Programmable Search Engine integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Google Programmable Search Engine (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 Google Programmable Search Engine

Google Programmable Search Engine + Google Vertex AI + Google Sheets: Periodically query the Google Programmable Search Engine. Analyze the search results using Google Vertex AI to extract key insights. Log these insights, along with the search query and date, into a Google Sheet for trend analysis and review.

Google Programmable Search Engine + Google Vertex AI + Slack: Query a specific website using Google Programmable Search Engine. Use Google Vertex AI to summarize the content of the search results. Post a daily update to a designated Slack channel with the summarized content.

Google Vertex AI and Google Programmable Search Engine 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 Google Programmable Search Engine

Use Google Programmable Search Engine in Latenode to build focused search workflows. Automatically extract data from specific sites, monitor brand mentions, or gather research. Combine it with AI nodes to analyze results, filter noise, and deliver actionable insights without manual crawling. Integrate with any app through Latenode’s flexible API.

See how Latenode works

FAQ Google Vertex AI and Google Programmable Search Engine

How can I connect my Google Vertex AI account to Google Programmable Search Engine using Latenode?

To connect your Google Vertex AI account to Google Programmable Search Engine 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 Google Programmable Search Engine accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze search results using Vertex AI?

Yes! Latenode lets you use Vertex AI to analyze Programmable Search Engine results—sentiment, topics—enhancing insights. Latenode's no-code and JavaScript blocks make complex data processing easy.

What types of tasks can I perform by integrating Google Vertex AI with Google Programmable Search Engine?

Integrating Google Vertex AI with Google Programmable Search Engine allows you to perform various tasks, including:

  • Automatically summarizing search results using Vertex AI's text models.
  • Classifying search results based on content using Vertex AI's natural language processing.
  • Extracting key entities from search results using Vertex AI's entity recognition.
  • Generating creative content based on search query trends via Vertex AI.
  • Enhancing chatbot responses using Programmable Search Engine and Vertex AI.

How do I manage Vertex AI authentication on Latenode?

Latenode simplifies authentication via secure credential storage and handling. Use environment variables for enhanced security and easier scaling.

Are there any limitations to the Google Vertex AI and Google Programmable Search Engine integration on Latenode?

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

  • Large result sets from Programmable Search Engine may impact Vertex AI processing time.
  • API rate limits for both Google Vertex AI and Google Programmable Search Engine apply.
  • Complex data transformations may require JavaScript knowledge within Latenode.

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