with Fauna and Pinecone?
Emit new event each time you add or remove a document from a specific collection, with the details of the document.
Deletes one or more vectors by ID, from a single namespace. See the documentation
Performs an arbitrary authorized GraphQL query. See docs here
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
Fauna API offers a powerful serverless database solution for modern applications. Its unique capabilities allow for highly scalable, secure, and flexible data management. With Pipedream, you can harness the power of Fauna to create intricate serverless workflows that react to various triggers, manage data efficiently, and connect seamlessly with other services and APIs to automate complex tasks.
module.exports = defineComponent({
props: {
faunadb: {
type: "app",
app: "faunadb",
}
},
async run({steps, $}) {
const faunadb = require('faunadb')
const q = faunadb.query
const client = new faunadb.Client({ secret: this.faunadb.$auth.secret })
// Lists collections in the database tied to your secret key
const collectionsPaginator = await client.paginate(q.Collections())
this.collections = []
await collectionsPaginator.each(page => {
for (const collection of page) {
this.collections.push(collection.id)
}
})
},
})
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}`,
},
})
},
})