ashryanbeats/embedjs-rag

Getting started with EmbedJS for RAG

Getting started with EmbedJS for RAG

This repo serves to help you get started with the EmbedJS library (@llm-tools/embedjs) for implementing RAG in your own Node.js applications.

RAG resources

• "Applied AI Software Engineering: RAG" on The Pragmatic Engineer: a solid primer if you're looking a high-level explantion of RAG for app developers
• "RAG in Node.js with EmbedJS": an article I wrote that discusses this repo in a bit more depth
• llm-tools/embedJs on GitHub: the library this RAG example uses

Requirements

• Node.js 20+
• npm 10+
• An OpenAI API key

Install

Install the repo and its dependencies like this:

git clone REPO_URL
cd embedjs-rag
npm install

Configure

Create a new file called .env:

touch .env

In your new .env file, add a variable for your OpenAI API key and add your key:

OPENAI_API_KEY=your_key_here

Usage

You can run the script with or without prompt as a command line argument:

npm start # No prompt (the script has a default)
npm start "What does Ash write about?"

The output will print in your terminal.