Google Gemini

Google Gemini is a multimodal AI by DeepMind that processes text, audio, images, and more.

Integrate the Google Gemini API with the MongoDB API

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

Generate Content from Text and Image with Google Gemini API on New Collection from MongoDB API
MongoDB + Google Gemini
 
Try it
Generate Content from Text and Image with Google Gemini API on New Database from MongoDB API
MongoDB + Google Gemini
 
Try it
Generate Content from Text and Image with Google Gemini API on New Document from MongoDB API
MongoDB + Google Gemini
 
Try it
Generate Content from Text and Image with Google Gemini API on New Field in Document from MongoDB API
MongoDB + Google Gemini
 
Try it
Generate Content from Text with Google Gemini API on New Collection from MongoDB API
MongoDB + Google Gemini
 
Try it
New Collection from the MongoDB API

Emit new an event when a new collection is added to a database

 
Try it
New Database from the MongoDB API

Emit new an event when a new database is added

 
Try it
New Document from the MongoDB API

Emit new an event when a new document is added to a collection

 
Try it
New Field in Document from the MongoDB API

Emit new an event when a new field is added to a document

 
Try it
Generate Content from Text with the Google Gemini API

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

 
Try it
Create New Document with the MongoDB API

Create a new document in a collection of your choice. See the docs here

 
Try it
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

 
Try it
Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
Try it
Execute Aggregation with the MongoDB API

Execute an aggregation pipeline on a MongoDB collection. See the documentation

 
Try it

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

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
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 MongoDB

The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.

Connect MongoDB

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
import mongodb from 'mongodb'

export default defineComponent({
  props: {
    mongodb: {
      type: "app",
      app: "mongodb",
    },
    collection: {
      type: "string"
    },
    filter: {
      type: "object"
    }
  },
  async run({steps, $}) {
    const MongoClient = mongodb.MongoClient
    
    const {
      database,
      hostname,
      username,
      password,
    } = this.mongodb.$auth
    
    const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
    const client = await MongoClient.connect(url, { 
      useNewUrlParser: true, 
      useUnifiedTopology: true 
    })
    
    const db = client.db(database)

    const results = await db.collection(this.collection).find(this.filter).toArray();
    $.export('results', results);
    
    await client.close()
  },
})