https://github.com/tsonglew/vex
Vector Database Manager for VSCode
https://github.com/tsonglew/vex
chromadb milvus vector-database vscode-extension weaviate
Last synced: 25 days ago
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Vector Database Manager for VSCode
- Host: GitHub
- URL: https://github.com/tsonglew/vex
- Owner: tsonglew
- License: mit
- Created: 2025-08-27T18:23:57.000Z (about 2 months ago)
- Default Branch: master
- Last Pushed: 2025-08-28T18:03:26.000Z (about 1 month ago)
- Last Synced: 2025-08-29T00:39:31.459Z (about 1 month ago)
- Topics: chromadb, milvus, vector-database, vscode-extension, weaviate
- Language: TypeScript
- Homepage:
- Size: 90.8 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
README
# Vex - Vector Database Manager
A comprehensive VS Code extension for managing vector databases like Milvus and ChromaDB. Create, manage, and query vector collections with an intuitive interface.
## Features
- 🚀 **Easy Connection**: Connect to Milvus and ChromaDB databases with simple configuration
- 📊 **Collection Management**: Create, view, delete and manage vector collections from tree view
- 🔍 **Vector Operations**: Insert, search, and list vectors with rich data visualization and export capabilities
- 🔗 **Database Operations**: Connect, disconnect, and manage database connections
- 🎨 **Tree View Interface**: Clean, intuitive tree view that integrates seamlessly with VS Code
- 📋 **Rich Data Viewer**: Modern webview panels for displaying vectors, search results, and statistics
- ⚡ **Fast Performance**: Optimized for quick database operations with efficient data rendering
## Installation
1. Download the `.vsix` file from the releases
2. In VS Code, go to Extensions (Ctrl+Shift+X)
3. Click the "..." menu and select "Install from VSIX..."
4. Choose the downloaded `.vsix` file
5. Restart VS Code
## Usage
### Getting Started
The extension provides a tree view in the activity bar for managing your real vector database connections.
### Accessing the Tree View
- Click the Vector Database icon in the activity bar
- Add your real database connections using the "+" button
- Connect to your databases to see actual collections and data
### Connecting to Databases
1. **Milvus Database**:
- Host: `localhost` (or your Milvus server)
- Port: `19530` (default Milvus port)
- Username/Password: If authentication is enabled
2. **ChromaDB Database**:
- Host: `localhost` (or your ChromaDB server)
- Port: `8000` (default ChromaDB port)
### Managing Database Connections
- **Add Connections**: Add new Milvus or ChromaDB database connections
- **Connect/Disconnect**: Manage connection status for your databases
- **Edit Connections**: Modify connection settings
- **Delete Connections**: Remove database connections
### Working with Collections
- **View Collections**: Browse collections in the tree view for connected databases
- **Create Collections**: Add new collections by right-clicking on database connections
- **View Collection Details**: Right-click on collections to see detailed information
- **Delete Collections**: Remove collections (when connected to database)
- **Collection Management**: Access all features through right-click context menus
### Vector Operations
- **List Vectors**: View vectors in a beautifully designed data table with full vector data, metadata, and statistics
- **Insert Vectors**: Add new vectors to collections with optional IDs and metadata through intuitive dialogs
- **Search Vectors**: Perform similarity searches with results displayed in a comprehensive results viewer
- **Vector Management**: All operations accessible via collection context menus with rich visual feedback
### Data Viewer Features
- **Rich Data Display**: Modern, responsive data tables with VS Code theme integration
- **Vector Visualization**: Expandable vector data display with hover interactions
- **Search Results**: Ranked similarity results with score visualization and metadata
- **Export Functionality**: Copy data to clipboard for external analysis
- **Performance Optimized**: Efficient rendering of large datasets with pagination
- **Statistics Dashboard**: Real-time stats showing collection info, dimensions, and counts
## Supported Databases
- **Milvus**: Open-source vector database for production
- **ChromaDB**: Embedding database for AI applications
## Requirements
- VS Code 1.99.0 or higher
- Node.js 18+ (for development)
## Development
```bash
# Clone the repository
git clone https://github.com/tsonglew/vex.git
cd vex
# Install dependencies
npm install
# Build the extension
npm run package
# Run tests
npm test
```
## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Support
If you encounter any issues or have questions, please open an issue on GitHub.
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**Made with ❤️ for the VS Code community**