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-**Home Page**: Overview and navigation to demo features
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-**Interactive Demo** (`/nlweb`): UI for testing NLWeb queries
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- Query input with natural language questions
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- Mode selection (List, Summarize, Generate)
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- Streaming responses with real-time display
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- API testing interface
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-**Interactive Demo** (`/nlweb`): UI for testing NLWeb queries with enhanced data source visualization
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-**Smart Data Source Management**: Automatic routing between RSS feeds (.NET content), Schema.org static data (science fiction), and mock placeholders
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-**Visual Data Source Indicators**: Top-level Bootstrap cards showing which sources are active
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-**User Guidance Prompts**: Contextual examples of what content is available to search
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-**Query input with natural language questions**: Try ".NET 9 features" for RSS data or "space movies" for sci-fi content
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-**Mode selection**: List, Summarize, Generate modes with streaming support
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-**Color-coded result badges**: Each result shows its source (RSS/Schema.org/Mock) with visual indicators
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-**HTML tag removal**: Clean display of RSS feed content
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-**API testing interface**: Direct endpoint testing with request/response inspection
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-**API Documentation**: OpenAPI specification for `/ask` and `/mcp` endpoints
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> **🔧 Real AI Integration**: The demo uses mock responses by default. For actual AI-powered responses, see the [Complete Setup Guide](doc/demo-setup-guide.md) for Azure OpenAI and OpenAI API integration.
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📖 **[Complete AI Integration Guide](doc/demo-setup-guide.md)** - Step-by-step instructions for:
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- Azure OpenAI and OpenAI API configuration
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- Enhanced data source features and testing scenarios
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- Security best practices for API key management
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- Service registration and dependency injection
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- Troubleshooting common setup issues
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- Configuration options
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- Production deployment considerations
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The guide includes examples, FAQ, and troubleshooting to get you up and running with AI responses.
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The guide includes examples, FAQ, troubleshooting, and detailed documentation of the enhanced data source visualization features.
The NLWebNet demo application includes sophisticated data source management with strict isolation and visual indicators:
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### 🎯 **Smart Data Source Routing**
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The demo uses an **Enhanced Mock Data Backend** that intelligently routes queries to different data sources based on LLM availability and query content:
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-**When LLM is configured**:
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-**.NET queries** (containing ".NET", "release", "update", etc.) → **RSS feed data** from Microsoft .NET Blog
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**📚 DOCUMENTATION MILESTONE: Complete Setup Guide** - Comprehensive demo setup guide (`doc/demo-setup-guide.md`) provides end-to-end instructions for integrating real AI services (Azure OpenAI, OpenAI API) with detailed troubleshooting, security considerations, and production deployment guidance.
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**🎨 UI/UX ENHANCEMENT: Advanced Data Source Visualization** - Enhanced demo application with sophisticated data source management and visualization:
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- ✅ **Enhanced Mock Data Backend**: Implemented strict data source isolation with `EnhancedMockDataBackend` service
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- ✅ **Data Source Indicators**: Top-level Bootstrap cards showing RSS feeds, Schema.org static data, and mock data sources
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- ✅ **Smart Content Routing**: .NET queries return RSS feed data, general queries return science fiction content, no AI returns mock data
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- ✅ **HTML Tag Removal**: Automatic HTML stripping for RSS content display
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- ✅ **Visual Data Source Labels**: Color-coded badges on each result showing source (RSS/Schema.org/Mock)
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- ✅ **User Guidance Prompts**: Contextual examples showing users what content is available for search
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- ✅ **Zero Cross-Contamination**: Robust logging and detection to ensure pure data source isolation
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- ✅ **Science Fiction Theme**: Complete replacement of Microsoft product references with sci-fi content for clean demo data
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**The project has successfully completed all planned phases** with a fully functional demonstration application running at `http://localhost:5037`, a published NuGet package available at [nuget.org/packages/NLWebNet](https://www.nuget.org/packages/NLWebNet/), confirmed extension method accessibility, comprehensive configuration and testing infrastructure, and complete documentation for real-world AI integration.
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