Integrate the Google PaLM API with the MongoDB API

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

Popular Ways to Connect Google PaLM with MongoDB#

Chat with Google PaLM API on New Collection from MongoDB API

MongoDB + Google PaLM

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Chat with Google PaLM API on New Database from MongoDB API

MongoDB + Google PaLM

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Chat with Google PaLM API on New Document from MongoDB API

MongoDB + Google PaLM

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Chat with Google PaLM API on New Field in Document from MongoDB API

MongoDB + Google PaLM

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Generate Embeddings with Google PaLM API on New Collection from MongoDB API

MongoDB + Google PaLM

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Popular Google PaLM and MongoDB Triggers#

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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Popular Google PaLM and MongoDB Actions#

Chat with the Google PaLM API

Chat using Google PaLM. See the docs here

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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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Generate Embeddings with the Google PaLM API

Generate embeddings using Google PaLM. See the docs here

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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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Generate Text with the Google PaLM API

Generate text using Google PaLM. See the docs here

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Overview of Google PaLM#

The Google PaLM API is a cutting-edge language model that allows developers to integrate advanced natural language understanding into their applications. On Pipedream, you can harness this power to create serverless workflows that react to various triggers and perform actions based on the insights and outputs from PaLM. Whether it's generating content, summarizing text, or understanding user intent, PaLM's capabilities can be integrated into Pipedream workflows to automate complex tasks involving language.

Connect Google PaLM#

import { v1beta2 } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";

export default defineComponent({
  props: {
    google_palm_api: {
      type: "app",
      app: "google_palm_api",
    }
  },
  async run({ steps, $ }) {
    const client = new v1beta2.TextServiceClient({
      authClient: new GoogleAuth().fromAPIKey(this.google_palm_api.$auth.palm_api_key),
    });

    const text = "Repeat after me: one, two,";
    const model = "models/text-bison-001";

    return await client
      .generateText({
        model,
        prompt: {
          text,
        },
      })
  },
})

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#

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()
  },
})