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Google Vertex AI

Vertex AI offers everything you need to build and use generative AI—from AI solutions, to Search and Conversation, to 130+ foundation models, to a unified AI platform.

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PostgreSQL

Integrate the Google Vertex AI API with the PostgreSQL API

Setup the Google Vertex AI API trigger to run a workflow which integrates with the PostgreSQL API. Pipedream's integration platform allows you to integrate Google Vertex AI and PostgreSQL remarkably fast. Free for developers.

Popular Ways to Connect Google Vertex AI with PostgreSQL

Analyze Image/Video with Google Vertex AI API on New Column from PostgreSQL API
PostgreSQL + Google Vertex AI
 
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Analyze Image/Video with Google Vertex AI API on New or Updated Row from PostgreSQL API
PostgreSQL + Google Vertex AI
 
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Analyze Image/Video with Google Vertex AI API on New Row Custom Query from PostgreSQL API
PostgreSQL + Google Vertex AI
 
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Analyze Image/Video with Google Vertex AI API on New Row from PostgreSQL API
PostgreSQL + Google Vertex AI
 
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Analyze Image/Video with Google Vertex AI API on New Table from PostgreSQL API
PostgreSQL + Google Vertex AI
 
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Popular Google Vertex AI and PostgreSQL Triggers

New Column from the PostgreSQL API

Emit new event when a new column is added to a table. See the documentation

 
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New or Updated Row from the PostgreSQL API

Emit new event when a row is added or modified. See the documentation

 
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New Row from the PostgreSQL API

Emit new event when a new row is added to a table. See the documentation

 
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New Row Custom Query from the PostgreSQL API

Emit new event when new rows are returned from a custom query that you provide. See the documentation

 
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New Table from the PostgreSQL API

Emit new event when a new table is added to the database. See the documentation

 
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Popular Google Vertex AI and PostgreSQL Actions

Analyze Image/Video with the Google Vertex AI API

Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation

 
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Delete Row(s) with the PostgreSQL API

Deletes a row or rows from a table. See the documentation

 
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Analyze Text Sentiment with the Google Vertex AI API

Analyzes a specified text for its underlying sentiment. See the documentation

 
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Execute Custom Query with the PostgreSQL API

Executes a custom query you provide. See the documentation

 
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Classify Text with the Google Vertex AI API

Groups a provided text into predefined categories. See the documentation

 
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Overview of Google Vertex AI

With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.

Connect Google Vertex AI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_vertex_ai: {
      type: "app",
      app: "google_vertex_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of PostgreSQL

On Pipedream, you can leverage the PostgreSQL app to create workflows that automate database operations, synchronize data across platforms, and react to database events in real-time. Think handling new row entries, updating records from webhooks, or even compiling reports on a set schedule. Pipedream's serverless platform provides a powerful way to connect PostgreSQL with a variety of apps, enabling you to create tailored automation that fits your specific needs.

Connect PostgreSQL

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import postgresql from "@pipedream/postgresql"

export default defineComponent({
  props: {
    postgresql,
  },
  async run({ steps, $ }) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/postgresql

    const queryObj = {
      text: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.postgresql.executeQuery(queryObj);
    return rows;
  },
})
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