https://github.com/hemants1703/text-embedding-and-vector-store
This project showcases usage of OpenAI text embeddings and Supabase PostgreSQL's pgvector extension vector storage
https://github.com/hemants1703/text-embedding-and-vector-store
Last synced: about 2 months ago
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This project showcases usage of OpenAI text embeddings and Supabase PostgreSQL's pgvector extension vector storage
- Host: GitHub
- URL: https://github.com/hemants1703/text-embedding-and-vector-store
- Owner: hemants1703
- Created: 2025-06-12T04:03:59.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-06-14T08:28:52.000Z (4 months ago)
- Last Synced: 2025-06-14T09:28:27.717Z (4 months ago)
- Language: TypeScript
- Size: 170 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Text Embeddings and Vector Store
A modern web application that demonstrates the power of text embeddings and vector databases. This project showcases the integration of OpenAI's text embedding model with Supabase's PostgreSQL pgvector database, providing a seamless interface for text-to-vector conversion and storage.
## Features
- 🔤 Text to Vector Embedding: Transform any text into vector embeddings using OpenAI's powerful model
- 🗄️ Vector Database Storage: Store embeddings in Supabase's PostgreSQL pgvector database
- 🎨 Modern UI: Built with Next.js 14, Tailwind CSS, and shadcn/ui components
- ⚡ Real-time Feedback: Instant visual feedback for all operations
- 🔒 Type Safety: Built with TypeScript for robust type checking
## Tech Stack
- **Frontend:**
- Next.js 14 (App Router)
- TypeScript
- Tailwind CSS
- shadcn/ui Components
- React Server Actions
- **Backend:**
- Next.js API Routes
- OpenAI API (Text Embeddings)
- Supabase (PostgreSQL with pgvector)
## Getting Started
1. Clone the repository:
```bash
git clone https://github.com/yourusername/text-embedding-and-vector-store.git
cd text-embedding-and-vector-store
```
2. Install dependencies:
```bash
npm install
```
3. Set up environment variables:
Create a `.env.local` file with:
```env
OPENAI_API_KEY=your_openai_api_key
SUPABASE_URL=your_supabase_url
SUPABASE_API_KEY=your_supabase_api_key
```
4. Run the development server:
```bash
npm run dev
```
5. Open [http://localhost:3000](http://localhost:3000) to see the application.
## Project Structure
```
├── src/
│ ├── app/ # Next.js app router pages
│ ├── components/ # React components
│ ├── lib/ # Utility functions and actions
│ └── types/ # TypeScript type definitions
├── public/ # Static assets
└── ...config files
```
## Key Features Implementation
- **Text Embedding:** Utilizes OpenAI's text-embedding-ada-002 model for generating vector embeddings
- **Vector Storage:** Implements Supabase's pgvector extension for efficient vector storage and similarity search
- **Real-time UI Updates:** Uses React Server Actions for seamless data flow
- **Responsive Design:** Fully responsive layout with modern UI components
## Contributing
Feel free to submit issues and enhancement requests!