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with Google Gemini and Microsoft Azure SQL Database?

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Generate Content from Text and Image with Google Gemini API on New Column from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + Google Gemini
 
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Generate Content from Text and Image with Google Gemini API on New or Updated Row from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + Google Gemini
 
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Generate Content from Text with Google Gemini API on New Column from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + Google Gemini
 
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Generate Content from Text with Google Gemini API on New or Updated Row from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + Google Gemini
 
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Generate Embeddings with Google Gemini API on New Column from Microsoft Azure SQL Database API
Microsoft Azure SQL Database + Google Gemini
 
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New Column from the Microsoft Azure SQL Database API

Triggers when a new column is added to a table.

 
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New or Updated Row from the Microsoft Azure SQL Database API

Triggers when a new row is added or an existing row is updated.

 
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Generate Content from Text with the Google Gemini API

Generates content from text input using the Google Gemini API. See the documentation

 
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Execute Query with the Microsoft Azure SQL Database API

Executes a SQL query and returns the results. See the documentation

 
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Generate Content from Text and Image with the Google Gemini API

Generates content from both text and image input using the Gemini API. See the documentation

 
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Execute SQL Query with the Microsoft Azure SQL Database API

Execute a custom SQL query. See our docs to learn more about working with SQL in Pipedream.

 
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Generate Embeddings with the Google Gemini API

Generate embeddings from text input using Google Gemini. See the documentation

 
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Integrate the Google Gemini API with the Microsoft Azure SQL Database API
Setup the Google Gemini API trigger to run a workflow which integrates with the Microsoft Azure SQL Database API. Pipedream's integration platform allows you to integrate Google Gemini and Microsoft Azure SQL Database remarkably fast. Free for developers.

Overview of Google Gemini

The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.

Connect Google Gemini

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_gemini: {
      type: "app",
      app: "google_gemini",
    }
  },
  async run({steps, $}) {
    const data = `{{your_promptt}}`;
      //E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
    return await axios($, {
      method: "POST",
      url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
      headers: {
        "Content-Type": "application/json",        
      },      
      params: {
        key: `${this.google_gemini.$auth.api_key}`,
      },
      data
    })
  },
})

Overview of Microsoft Azure SQL Database

The Microsoft Azure SQL Database API allows you to manage and interact with your SQL databases hosted on Azure directly from Pipedream. It provides a serverless way to run SQL queries, manage tables, and handle database management tasks. You can create, read, update, and delete database records, execute stored procedures, and perform a variety of other SQL operations. Leveraging this API on Pipedream enables you to automate workflows, respond to database events in real-time, and integrate with countless other apps and services.

Connect Microsoft Azure SQL Database

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import azure_sql from '@pipedream/azure_sql';

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

    const queryObj = {
      query: "SELECT GETDATE()",
      values: [],
    };
    return await this.azure_sql.executeQuery(queryObj);
  },
});

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
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Scale AI logo
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Adyen logo
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LinkedIn logo
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Scale AI logo
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Warner Bros. logo