Weaviate is an open-source vector database.
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
Weaviate is a cloud-native, modular, real-time vector search engine that enables scalable, high-performance semantic search. It's built for a wide range of applications, from autocomplete and similar object suggestions to full-text search and automatic categorization. With the Weaviate API, you can index and search through large amounts of data using machine learning models to understand the content and context of the data. On Pipedream, you can leverage this API to create serverless workflows that automate data ingestion, enrichment, and search capabilities, enhancing your apps with intelligent search functions.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
weaviate: {
type: "app",
app: "weaviate",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.weaviate.$auth.cluster_url}//v1/schema`,
headers: {
Authorization: `Bearer ${this.weaviate.$auth.api_key}`,
},
})
},
})
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()
},
})