Google Vertex AI and Feedly Integration

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Automate content analysis by connecting Feedly articles to Google Vertex AI on Latenode. Classify, summarize, and extract key insights with AI, customizing logic using JavaScript, while benefiting from affordable pay-by-execution pricing.

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Google Vertex AI

Feedly

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Vertex AI and Feedly

Create a New Scenario to Connect Google Vertex AI and Feedly

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 Feedly will be your first step. To do this, click "Choose an app," find Google Vertex AI or Feedly, 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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Run node once

Add the Feedly Node

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

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Authenticate Feedly

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

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Configure the Google Vertex AI and Feedly 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 Feedly 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, Feedly, 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 Feedly integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Feedly (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 Feedly

Feedly + Google Vertex AI + Slack: When a new article appears in a Feedly feed, it uses Vertex AI to generate a summary. The summary is then posted to a designated Slack channel.

Feedly + Google Vertex AI + Slack: When a new article is added to a Feedly feed, Vertex AI analyzes its sentiment. A Slack message is sent to a channel indicating the sentiment (positive, negative, or neutral) along with the article title.

Google Vertex AI and Feedly 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 Feedly

Aggregate and filter Feedly articles within Latenode to automate content-driven workflows. Track brand mentions, industry trends, or competitor activity, then instantly trigger actions like posting to social media, updating databases, or notifying teams—all based on custom rules and logic.

See how Latenode works

FAQ Google Vertex AI and Feedly

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

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

Can I analyze Feedly articles using Vertex AI?

Yes, easily! Use Latenode to trigger Vertex AI text analysis from Feedly articles. Gain insights without coding, leveraging Latenode's visual editor for custom AI workflows.

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

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

  • Summarizing Feedly articles using Google Vertex AI's language models.
  • Classifying Feedly articles based on topic using Vertex AI.
  • Extracting key entities from Feedly content with Vertex AI's NLP.
  • Translating Feedly articles into different languages using Vertex AI.
  • Analyzing sentiment of news from Feedly using Vertex AI models.

HowsecureisGoogleVertexAIconnectiononLatenode?

Latenode employs secure authentication and encryption protocols,safeguarding your Google Vertex AI credentials and data during integration and workflow execution.

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

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

  • Large volumes of Feedly articles may require optimized Latenode workflow configurations.
  • Google Vertex AI usage is subject to Google's rate limits and pricing.
  • Custom AI models may require additional setup and training outside of Latenode.

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