A full-stack document management and AI chat application that enables users to upload, manage, and chat with their documents using AI. Built with ASP.NET Core Web API backend and Angular frontend.

AIDocumentRAG provides an intelligent document management system with AI-powered chat capabilities. Users can upload documents, organize them in a searchable interface, and engage in natural language conversations about document contents using OpenAI's GPT models.

• File Processing: Automatic copying and metadata extraction from source directories
• Multiple Format Support: PDF, Word documents (.docx, .doc), Excel files (.xlsx, .xls), text files (.txt), and more
• Metadata Tracking: File size, creation date, modification date, character count, and file extension
• Search Functionality: Real-time search across file names, types, sizes, and dates
• Multi-Select Mode: Select and work with multiple documents simultaneously

• Document-Aware Conversations: Chat about specific documents or multiple documents at once
• Conversation History: Persistent chat history per document/document set
• Streaming Responses: Real-time AI response streaming for better user experience
• Export Functionality: Export chat conversations as JSON files

• Fluent Design: Modern UI following Microsoft Fluent Design principles
• Responsive Layout: Grid-based layout that adapts to different screen sizes
• Real-time Updates: Live document status and loading indicators
• Search Integration: Integrated search with filtering and result highlighting

• Controllers:
  • FileManagementController: Handles document operations (initialize, list, retrieve)
  • AIChatController: Manages AI chat interactions (regular and streaming)
• Services:
  • FileManagementService: Core document processing and repository management
  • AIChatService: OpenAI integration with Semantic Kernel
• Models: Request/response DTOs with comprehensive API responses

• Components:
  • DocumentsQuickViewComponent: Sidebar for document browsing and selection
  • ChatViewComponent: Main chat interface with conversation management
  • LoadingDialogComponent: System initialization and loading states
• Services:
  • FileManagementService: Backend API integration
  • DocumentSearchService: Client-side search functionality
  • AIChatService: AI chat API integration

• GET /api/filemanagement/status - System status and initialization state
• POST /api/filemanagement/initialize - Initialize with source/destination paths
• GET /api/filemanagement/files - List all managed files
• GET /api/filemanagement/files/{fileName} - Get specific file metadata
• GET /api/filemanagement/files/{fileName}/content - Get file content

• POST /api/aichat/chat - Send chat message (synchronous)
• POST /api/aichat/chat/stream - Send chat message (streaming response)

• Framework: ASP.NET Core (.NET 9.0)
• AI Integration: Microsoft Semantic Kernel with OpenAI
• Architecture: Clean architecture with SOLID principles
• Patterns: Repository pattern, dependency injection, async/await

• Framework: Angular with TypeScript
• UI Library: Fluent UI Web Components
• State Management: RxJS observables and local storage
• Styling: CSS with Fluent Design variables and animations

• API Testing: HTTP files for endpoint testing
• Configuration: Environment-based settings
• CORS: Configured for development origins

AIDocumentRAG/
├── AIDocumentRAG.Server/          # ASP.NET Core Web API
│   ├── Controllers/               # API controllers
│   ├── Services/                  # Business logic services
│   ├── Models/                    # DTOs and data models
│   └── Program.cs                 # Application entry point
├── aidocumentrag.client/          # Angular frontend
│   ├── src/app/components/        # UI components
│   ├── src/app/services/          # Angular services
│   └── src/environments/          # Environment configuration
└── Data/                          # Sample documentation files

• OpenAI API Key: Set via OPENAI_API_KEY environment variable
• File Management: Configurable through appsettings.json
  • Default source/destination paths
  • Maximum file size limits
  • Allowed file extensions
• CORS: Development origins configured in Program.cs

• API URL: Configured in environment.ts
• Proxy Configuration: Set up for development API calls

Handles the core document processing workflow:

• Directory copying and file processing
• Metadata extraction and storage
• File repository management with in-memory storage

Manages AI interactions:

• OpenAI GPT-4o-mini integration
• Streaming and non-streaming responses
• Error handling and logging

Provides intelligent document discovery:

• Real-time filtering across multiple criteria
• File type keyword matching
• Size and date range queries

Enables document-focused conversations:

• Single and multi-document chat modes
• Conversation persistence per document set
• Export functionality for chat history