OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

Integrate the OpenAI (ChatGPT) API with the MongoDB API

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

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Chat with OpenAI (ChatGPT) API on New Database from MongoDB API
MongoDB + OpenAI (ChatGPT)
 
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Chat with OpenAI (ChatGPT) API on New Collection from MongoDB API
MongoDB + OpenAI (ChatGPT)
 
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Chat with OpenAI (ChatGPT) API on New Document from MongoDB API
MongoDB + OpenAI (ChatGPT)
 
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Chat with OpenAI (ChatGPT) API on New Field in Document from MongoDB API
MongoDB + OpenAI (ChatGPT)
 
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Summarize Text with OpenAI (ChatGPT) API on New Collection from MongoDB API
MongoDB + OpenAI (ChatGPT)
 
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New Collection from the MongoDB API

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

 
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New Database from the MongoDB API

Emit new an event when a new database is added

 
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New Document from the MongoDB API

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

 
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New Field in Document from the MongoDB API

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

 
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New Batch Completed from the OpenAI (ChatGPT) API

Emit new event when a new batch is completed in OpenAI. See the documentation

 
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Chat with the OpenAI (ChatGPT) API

The Chat API, using the gpt-3.5-turbo or gpt-4 model. See the documentation

 
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Create New Document with the MongoDB API

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

 
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Summarize Text with the OpenAI (ChatGPT) API

Summarizes text using the Chat API. See the documentation

 
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Delete a Document with the MongoDB API

Delete a single document by ID. See the docs here

 
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Classify Items into Categories with the OpenAI (ChatGPT) API

Classify items into specific categories using the Chat API. See the documentation

 
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Overview of OpenAI (ChatGPT)

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Connect OpenAI (ChatGPT)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    openai: {
      type: "app",
      app: "openai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.openai.com/v1/models`,
      headers: {
        Authorization: `Bearer ${this.openai.$auth.api_key}`,
      },
    })
  },
})

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

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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()
  },
})

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