Vext
Vext is an out-of-the-box RAG & LLM platform that fast-tracks custom AI development with your data.
Integrate the Vext API with the Node API
Setup the Vext API trigger to run a workflow which integrates with the Node API. Pipedream's integration platform allows you to integrate Vext and Node remarkably fast. Free for developers.
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Popular Vext and Node Actions#
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Overview of Vext#
The Vext API lets you automate interactions with the Vext application, which is designed for versatile text transformations, parsing, and encoding. On Pipedream, you can craft serverless workflows that utilize Vext API to process and manipulate text data on-the-fly, without the need for manual intervention. Imagine automating complex text parsing tasks, encoding/decoding data in various formats, or even integrating with other services to enhance data processing pipelines.
Connect Vext#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vext: {
type: "app",
app: "vext",
}
},
async run({steps, $}) {
const data = {
"payload": `Hello`,
}
return await axios($, {
method: "post",
url: `https://payload.vextapp.com/hook/${this.vext.$auth.endpoint_id}/catch/123`,
headers: {
"Content-Type": `application/json`,
"Apikey": `Api-key ${this.vext.$auth.api_key}`,
},
data,
})
},
})
Overview of Node#
Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.
This includes installing NPM packages, within your code without having to manage a package.json file or running npm install.
Below is an example of installing the axios package in a Pipedream Node.js code step. Pipedream imports the axios package, performs the API request, and shares the response with subsequent workflow steps:
Connect Node#
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})Community Posts#
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