with Pinecone and Stripe?
Deletes one or more vectors by ID, from a single namespace. See the documentation
Looks up and returns vectors by ID, from a single namespace.. 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
Cancel a pending payout or reverse a paid payout. See the documentation here and here
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}`,
},
})
},
})
The Stripe API is a powerful tool for managing online payments, subscriptions, and invoices. With Pipedream, you can leverage this API to automate payment processing, monitor transactions, and sync billing data with other services. Pipedream's no-code platform allows for quick integration and creation of serverless workflows that react to Stripe events in real-time. For instance, you might automatically update customer records, send personalized emails after successful payments, or escalate failed transactions to your support team.
import stripe from 'stripe'
export default defineComponent({
props: {
stripe: {
type: "app",
app: "stripe",
}
},
async run({steps, $}) {
const client = stripe(this.stripe.$auth.api_key)
return await client.accounts.list({ limit: 1 })
},
})