Nyckel
Nyckel makes image and text classification easy for everyone. In just a few minutes, you can build an AI model to categorize images and text using any labels you want. No machine learning experience needed.
Integrate the Nyckel API with the MongoDB API
Setup the Nyckel API trigger to run a workflow which integrates with the MongoDB API. Pipedream's integration platform allows you to integrate Nyckel and MongoDB remarkably fast. Free for developers.
Popular Nyckel and MongoDB Actions#
Classifies image data based on pre-trained classifiers in Nyckel. See the documentation
Create a new document in a collection of your choice. See the docs here
Classifies text data based on pre-trained classifiers in Nyckel. See the documentation
Overview of Nyckel#
The Nyckel API offers machine learning capabilities, enabling you to add custom image and text classification to your applications without needing a data science background. With Nyckel, you can train models, make predictions, and refine your model iteratively as new data comes in. On Pipedream, you can integrate Nyckel to automate various tasks such as processing images uploaded to cloud storage, categorizing customer support tickets, or augmenting content moderation workflows. By harnessing the power of serverless on Pipedream, you can create efficient pipelines that respond in real-time to events, without managing infrastructure.
Connect Nyckel#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
nyckel: {
type: "app",
app: "nyckel",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.nyckel.com/v1/functions`,
headers: {
Authorization: `Bearer ${this.nyckel.$auth.oauth_access_token}`,
},
})
},
})
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()
},
})