RAG Demo Application

A full-stack Retrieval-Augmented Generation (RAG) chatbot application with multi-language support (English and Arabic).

RAG-Demo/
├── RAGDemoBackend/    # ASP.NET Core Web API (.NET 8.0)
└── RAGDemoFrontend/   # Angular 21 SPA

• Multi-language Support: Full English and Arabic interface with RTL support
• RAG Implementation: Vector search powered by Qdrant
• AI Integration: GitHub Models API (GPT-4o-mini) support
• Modern UI: PrimeNG components with custom styling
• Document Management: Upload and search documents
• Real-time Chat: Interactive chatbot with formatted responses

• .NET 8.0 SDK
• Node.js 18+ and npm
• Qdrant vector database (optional for vector search)
• GitHub Personal Access Token (optional for AI responses)

cd RAGDemoBackend
dotnet restore
dotnet build
dotnet run

The backend API will run on https://localhost:7085

Update appsettings.json or use environment variables:

• GitHub:Token - GitHub Personal Access Token for AI models
• DemoSettings:UseGitHubModels - Enable/disable AI responses
• Qdrant connection settings

cd RAGDemoFrontend
npm install
npm start

The frontend will run on http://localhost:4200

• Development: src/environments/environment.ts
• Production: src/environments/environment.prod.ts

Update apiUrl to match your backend API endpoint.

cd RAGDemoFrontend
npm run build

Output: dist/RAGDemoFrontend/

cd RAGDemoBackend
dotnet publish -c Release

• ASP.NET Core 8.0
• Azure AI Inference SDK
• Qdrant Vector Database
• Local BERT Embeddings

• Angular 21 (Standalone Components)
• PrimeNG 21
• ngx-translate
• TypeScript
• SCSS

MIT