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Refine search results from Google Programmable Search Engine using Google Vertex AI to extract key insights. Latenode's visual editor makes this complex workflow easier, more customizable, and more affordable than other solutions with pay-by-execution pricing.
Connect Google Programmable Search Engine and Google Vertex AI in minutes with Latenode.
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Create a New Scenario to Connect Google Programmable Search Engine and Google Vertex AI
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 Programmable Search Engine, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Programmable Search Engine or Google Vertex AI will be your first step. To do this, click "Choose an app," find Google Programmable Search Engine or Google Vertex AI, and select the appropriate trigger to start the scenario.
Add the Google Programmable Search Engine Node
Select the Google Programmable Search Engine node from the app selection panel on the right.
Google Programmable Search Engine
Configure the Google Programmable Search Engine
Click on the Google Programmable Search Engine node to configure it. You can modify the Google Programmable Search Engine URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Vertex AI Node
Next, click the plus (+) icon on the Google Programmable Search Engine node, select Google Vertex AI from the list of available apps, and choose the action you need from the list of nodes within Google Vertex AI.
Google Programmable Search Engine
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Google Vertex AI
Authenticate Google Vertex AI
Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.
Configure the Google Programmable Search Engine and Google Vertex AI Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Programmable Search Engine and Google Vertex AI Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Vertex AI
Trigger on Webhook
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Google Programmable Search Engine
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Programmable Search Engine, Google Vertex AI, 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 Programmable Search Engine and Google Vertex AI integration works as expected. Depending on your setup, data should flow between Google Programmable Search Engine and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Programmable Search Engine + Google Vertex AI + Slack: A query to Google Programmable Search Engine triggers the flow. The search results are then summarized using Google Vertex AI's content generation capabilities. Finally, the summary is sent to a specified Slack channel.
Google Programmable Search Engine + Google Vertex AI + Google Sheets: A query to Google Programmable Search Engine triggers the flow. The search results are then analyzed using Google Vertex AI's content generation capabilities to identify trends. Finally, the extracted insights are logged into a Google Sheet for review.
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.
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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.
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How can I connect my Google Programmable Search Engine account to Google Vertex AI using Latenode?
To connect your Google Programmable Search Engine account to Google Vertex AI on Latenode, follow these steps:
Can I analyze search result sentiment using AI?
Yes, easily! Latenode lets you pipe search results from Google Programmable Search Engine to Google Vertex AI for instant sentiment analysis, triggering actions based on the tone found.
What types of tasks can I perform by integrating Google Programmable Search Engine with Google Vertex AI?
Integrating Google Programmable Search Engine with Google Vertex AI allows you to perform various tasks, including:
Can I filter Google Programmable Search Engine results before AI processing?
Yes, you can! Latenode’s visual editor lets you add filters and conditions to refine search results before sending them to Google Vertex AI.
Are there any limitations to the Google Programmable Search Engine and Google Vertex AI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: