with Google Classroom and Pinecone?
Deletes one or more vectors by ID, from a single namespace. See the documentation
Retrieve information about an assignment. See the docs here
Looks up and returns vectors by ID, from a single namespace.. See the documentation
Retrieve a list of assignments for a course. See the documentation
Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores. See the documentation
The Google Classroom API lets you tap into the educational space by managing courses, assignments, and student interactions programmatically. With this API, you can automate course creation, roster management, and content distribution, effectively bridging the gap between various educational tools and platforms. Leveraging Pipedream's serverless execution environment, you can build powerful workflows that respond to events in Classroom, sync data across platforms, and streamline the educational process for teachers and students alike.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_classroom: {
type: "app",
app: "google_classroom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_classroom.$auth.oauth_access_token}`,
},
})
},
})
The Pinecone API enables you to work with vector databases, which are essential for building and scaling applications with AI features like recommendation systems, image recognition, and natural language processing. On Pipedream, you can create serverless workflows integrating Pinecone with other apps, automate data ingestion, query vector databases in response to events, and orchestrate complex data processing pipelines that leverage Pinecone's similarity search.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinecone: {
type: "app",
app: "pinecone",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinecone.io/collections`,
headers: {
"Api-Key": `${this.pinecone.$auth.api_key}`,
},
})
},
})