https://github.com/colburncodes/rag
A deep dive into the world of Retrieval-Augmented Generation (RAG) systems. The goal is to explore the core concepts of RAG architecture, explore various frameworks, and provide a thorough understanding and practical experience in building advanced RAG systems
https://github.com/colburncodes/rag
Last synced: 11 months ago
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A deep dive into the world of Retrieval-Augmented Generation (RAG) systems. The goal is to explore the core concepts of RAG architecture, explore various frameworks, and provide a thorough understanding and practical experience in building advanced RAG systems
- Host: GitHub
- URL: https://github.com/colburncodes/rag
- Owner: colburncodes
- Created: 2024-07-22T17:13:32.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-10-01T22:27:39.000Z (over 1 year ago)
- Last Synced: 2024-12-15T20:14:45.323Z (over 1 year ago)
- Language: JavaScript
- Size: 84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# OpenAI Starter Project
This is a starter project for integrating OpenAI's API into a JavaScript application.
## Setup
1. Clone this repository
2. Run `npm install` to install dependencies
3. Copy `.env.example` to `.env` and add your OpenAI API key
4. Run `npm start` to start the application
## Usage
Modify `src/server.js` to implement your OpenAI-powered features.
## Environment Variables
- `OPENAI_API_KEY`: Your OpenAI API key
## Dependencies
- dotenv: For loading environment variables
- openai: The official OpenAI API client for Node.js