Your very own AI knowledge assistant.
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The Mem API lets you interact with a unique knowledge base that adapts to your needs. Using Pipedream, you can automate tasks, sync information across apps, and trigger actions based on events in Mem. Think of pulling in tasks, pushing notifications, or archiving ideas - Pipedream serves as a superhighway for your Mem data to connect with over 800 apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mem: {
type: "app",
app: "mem",
}
},
async run({steps, $}) {
const data = {
"content": `Pipedream test - new mem`,
}
return await axios($, {
method: "post",
url: `https://api.mem.ai/v0/mems`,
headers: {
"Content-Type": `application/json`,
"Authorization": `ApiAccessToken ${this.mem.$auth.api_key}`,
},
data,
})
},
})
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.
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()
},
})