Recently I posted about AI Content Recommendations with TypeScript, which concluded by introducing a new NPM package I've been working on called ReadNext. This post is dedicated to ReadNext, and will go into more detail about how to use ReadNext in Node JS, React, and other JavaScript projects.

What it is

ReadNext is a Node JS package that uses AI to generate content recommendations. It's designed to be easy to use, and can be integrated into any Node JS project with just a few lines of code. It is built on top of LangChain, and delegates to an LLM of your choice for summarizing your content to generate recommendations. It runs locally, does not require you to deploy anything, and has broad support for a variety of content types and LLM providers.

ReadNext is not an AI itself, nor does it want your money, your data or your soul. It's just a library that makes it easy to find related content for developers who use JavaScript as their daily driver. It's best used at build time, and can be integrated into your CI/CD pipeline to generate recommendations for your content as part of your build process.

How to use it

Get started in the normal way:

npm install read-next

Configure a ReadNext instance:

import { ReadNext } from 'read-next'

const readNext = await ReadNext.create({
  // optional, defaults to a temp directory
  cacheDir: '/path/to/cache'
})

Index your content:

await readNext.index({
  sourceDocuments: [
    {
      pageContent: 'This is an article about React Server Components',
      id: 'rsc'
    },
    {
      pageContent: 'This is an article about React Hooks',
      id: 'hooks'
    },
    //... as many as you like
  ]
})