https://github.com/tushcmd/ram-rag
This is a Rate A Mechanic AI Assistant with Next.js, OpenAI, and Pinecone.
https://github.com/tushcmd/ram-rag
Last synced: about 1 year ago
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This is a Rate A Mechanic AI Assistant with Next.js, OpenAI, and Pinecone.
- Host: GitHub
- URL: https://github.com/tushcmd/ram-rag
- Owner: tushcmd
- Created: 2024-08-20T19:02:26.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-08-22T21:30:02.000Z (almost 2 years ago)
- Last Synced: 2025-03-26T16:21:19.523Z (over 1 year ago)
- Language: JavaScript
- Homepage: https://ram-rag.vercel.app
- Size: 4.61 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Rate a Mechanic RAG App
## Overview
This is a RAG AI Assistant with Next.js, OpenAI, and Pinecone
## Screenshots
## Technologies
- Next.js - React Framework
- Shadcn UI - Components
- OpenAI - LLM(genAI)
- TailwindCSS - Styling
- Pinecone - Vector DB
## Getting Started
1.Clone the repository:
```bash
git clone https://github.com/tushcmd/ai-customer-support.git
```
2.Install dependencies:
```bash
cd ai-customer-support
npm install
```
3.Set up environment variables:
```bash
cp .env.example .env
```
Edit the `.env` file with all the necessary environment variables.
4.Run the embed script `embedScript.py` to create embeddings and upsert them to our pinecone index
```bash
python embedScript.python
```
5.Run the development server:
```bash
npm run dev
```
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.