{"id":29313040,"url":"https://github.com/montraydavis/aidocumentrag","last_synced_at":"2026-04-19T03:05:16.682Z","repository":{"id":302490896,"uuid":"1012293696","full_name":"montraydavis/AIDocumentRAG","owner":"montraydavis","description":"A full-stack document management and AI chat application that enables users to upload, manage, and chat with their documents using AI. 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Built with ASP.NET Core Web API backend and Angular frontend.\n\n## Overview\n\nAIDocumentRAG 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 multiple AI providers including OpenAI's GPT models and Ollama.\n\n![Screenshot_01](./Assets/01.png)\n\n## Features\n\n### Document Management\n\n- **File Processing**: Automatic copying and metadata extraction from source directories\n- **Multiple Format Support**: PDF, Word documents (.docx, .doc), Excel files (.xlsx, .xls), text files (.txt), and more\n- **Metadata Tracking**: File size, creation date, modification date, character count, and file extension\n- **Search Functionality**: Real-time search across file names, types, sizes, and dates\n- **Multi-Select Mode**: Select and work with multiple documents simultaneously\n- **File Upload**: Direct file upload support with drag-and-drop interface\n- **File Operations**: Rename, delete, and retrieve file content\n- **File Status Tracking**: System initialization and file management status\n\n### AI Chat Interface\n\n- **Multi-Provider Support**: OpenAI GPT models and Ollama local models\n- **Document-Aware Conversations**: Chat about specific documents or multiple documents at once\n- **Conversation History**: Persistent chat history per document/document set with local storage\n- **Streaming Responses**: Real-time AI response streaming for better user experience\n- **Context-Aware Prompts**: Automatic document context injection into chat prompts\n- **Export Functionality**: Export chat conversations as JSON files\n- **Model Selection**: Choose between different AI models and providers\n\n### Document Summarization\n\n- **Single Document Summaries**: Generate summaries for individual documents\n- **Multi-Document Summaries**: Batch summary generation for multiple documents\n- **Caching System**: Intelligent caching of summaries to improve performance\n- **Summary State Management**: Track loading states and summary availability\n\n### Note Generation\n\n- **Single Document Notes**: Generate structured notes for individual documents\n- **Multi-Document Notes**: Create cross-document analysis and comparative notes\n- **Note Management**: Full CRUD operations for notes (create, read, update, delete)\n- **Note Search**: Search across all generated notes\n- **Note Categories and Tags**: Organize notes with categories and tagging system\n- **Cross-Document Context**: Analyze relationships between multiple documents\n\n### User Interface\n\n- **Fluent Design**: Modern UI following Microsoft Fluent Design principles\n- **Responsive Layout**: Grid-based layout that adapts to different screen sizes\n- **Real-time Updates**: Live document status and loading indicators\n- **Search Integration**: Integrated search with filtering and result highlighting\n- **Tabbed Interface**: Separate tabs for chat and note generation\n- **Drag and Drop**: Intuitive file upload with visual feedback\n\n## Architecture\n\n### Backend (ASP.NET Core)\n\n- **Controllers**:\n  - `FileManagementController`: Handles document operations (initialize, upload, list, retrieve, delete, rename)\n  - `AIChatController`: Manages AI chat interactions (regular and streaming) with multi-provider support\n  - `DocumentSummaryController`: Generates and retrieves document summaries\n  - `NoteGenerationController`: Manages note generation and CRUD operations\n- **Services**:\n  - `FileManagementService`: Core document processing and repository management\n  - `AIChatService`: Multi-provider AI integration with Semantic Kernel\n  - `DocumentSummaryService`: Document summarization with caching\n  - `NoteGenerationService`: Note generation and management\n- **Models**: Comprehensive request/response DTOs with API responses\n\n### Frontend (Angular)\n\n- **Components**:\n  - `DocumentsQuickViewComponent`: Sidebar for document browsing and selection\n  - `ChatViewComponent`: Main chat interface with conversation management and multi-provider support\n  - `NoteGenerationComponent`: Note generation interface with form controls\n  - `FileUploadComponent`: File upload with drag-and-drop support\n  - `LoadingDialogComponent`: System initialization and loading states\n- **Services**:\n  - `FileManagementService`: Backend API integration\n  - `DocumentSearchService`: Client-side search functionality\n  - `AIChatService`: Multi-provider AI chat API integration\n  - `DocumentSummaryService`: Summary management with caching\n  - `NoteGenerationService`: Note generation and management\n\n## API Endpoints\n\n### File Management\n\n- `GET /api/filemanagement/status` - System status and initialization state\n- `POST /api/filemanagement/initialize` - Initialize with source/destination paths\n- `POST /api/filemanagement/upload` - Upload individual files\n- `GET /api/filemanagement/files` - List all managed files\n- `GET /api/filemanagement/files/{fileName}` - Get specific file metadata\n- `GET /api/filemanagement/files/{fileName}/content` - Get file content\n- `DELETE /api/filemanagement/files/{fileName}` - Delete specific file\n- `POST /api/filemanagement/files/{fileName}/rename` - Rename files\n\n### AI Chat\n\n- `GET /api/aichat/ollama/models` - Get available Ollama models\n- `POST /api/aichat/chat` - Send chat message (synchronous)\n- `POST /api/aichat/chat/stream` - Send chat message (streaming response)\n\n### Document Summarization\n\n- `GET /api/documentsummary/{fileName}` - Get summary for specific document\n- `POST /api/documentsummary/multiple` - Get summaries for multiple documents\n\n### Note Generation\n\n- `POST /api/notegeneration/generate` - Generate note for single document\n- `POST /api/notegeneration/generate-multi` - Generate multi-document note\n- `GET /api/notegeneration/all` - Get all notes\n- `GET /api/notegeneration/{noteId}` - Get specific note by ID\n- `GET /api/notegeneration/document/{fileName}` - Get notes for specific document\n- `GET /api/notegeneration/documents/multiple` - Get notes for multiple documents\n- `GET /api/notegeneration/cross-document/{documentNames}` - Get cross-document notes\n- `GET /api/notegeneration/search` - Search notes by query\n- `PUT /api/notegeneration/{noteId}` - Update existing note\n- `DELETE /api/notegeneration/{noteId}` - Delete specific note\n- `DELETE /api/notegeneration/document/{fileName}` - Delete all notes for document\n\n## Technology Stack\n\n### Backend\n\n- **Framework**: ASP.NET Core (.NET 9.0)\n- **AI Integration**: Microsoft Semantic Kernel with OpenAI and Ollama support\n- **Architecture**: Clean architecture with SOLID principles\n- **Patterns**: Repository pattern, dependency injection, async/await\n- **Markdown Processing**: Markdig for content formatting\n\n### Frontend\n\n- **Framework**: Angular 19 with TypeScript\n- **UI Library**: Fluent UI Web Components\n- **State Management**: RxJS observables and local storage\n- **Styling**: CSS with Fluent Design variables and animations\n- **Icons**: FontAwesome for file type icons\n\n### Development Tools\n\n- **API Testing**: HTTP files for endpoint testing\n- **Configuration**: Environment-based settings\n- **CORS**: Configured for development origins\n- **Package Manager**: Yarn for dependency management\n\n## Project Structure\n\n```markdown\nAIDocumentRAG/\n├── AIDocumentRAG.Server/          # ASP.NET Core Web API\n│   ├── Controllers/               # API controllers (4 controllers)\n│   ├── Services/                  # Business logic services\n│   │   ├── ChatInference/        # AI chat and document summary\n│   │   ├── FileManagement/       # File operations and processing\n│   │   └── NoteGeneration/       # Note generation and management\n│   ├── Models/                    # DTOs and data models\n│   └── Program.cs                 # Application entry point\n├── aidocumentrag.client/          # Angular frontend\n│   ├── src/app/components/        # UI components (6 components)\n│   ├── src/app/services/          # Angular services (5 services)\n│   └── src/environments/          # Environment configuration\n└── Data/                          # Sample documentation files\n```\n\n## Configuration\n\n### Backend Configuration\n\n- **OpenAI API Key**: Set via `OPENAI_API_KEY` environment variable\n- **Ollama Integration**: Local Ollama server at `http://localhost:11434`\n- **File Management**: Configurable through `appsettings.json`\n  - Default source/destination paths\n  - Maximum file size limits\n  - Allowed file extensions\n- **CORS**: Development origins configured for ports 58585 and 4200\n- **Ports**: HTTPS on 7040, HTTP on 5002\n\n### Frontend Configuration\n\n- **API URL**: Configured in `environment.ts` for HTTPS port 7040\n- **Proxy Configuration**: Set up for development API calls\n- **Angular Version**: 19.2.0 with modern build tools\n\n## Key Components\n\n### FileManagementService\n\nHandles the core document processing workflow:\n\n- Directory copying and file processing\n- Metadata extraction and storage\n- File repository management with in-memory storage\n- File upload, deletion, and renaming operations\n\n### AIChatService\n\nManages multi-provider AI interactions:\n\n- OpenAI GPT-4o-mini integration\n- Ollama local model support\n- Streaming and non-streaming responses\n- Error handling and logging\n\n### DocumentSummaryService\n\nProvides intelligent document summarization:\n\n- Single and multi-document summary generation\n- Intelligent caching system\n- Performance optimization through state management\n\n### NoteGenerationService\n\nEnables comprehensive note management:\n\n- Single and multi-document note generation\n- Full CRUD operations for notes\n- Cross-document analysis capabilities\n- Search and filtering functionality\n\n### Search System\n\nProvides intelligent document discovery:\n\n- Real-time filtering across multiple criteria\n- File type keyword matching\n- Size and date range queries\n- Client-side search optimization\n\n### Chat System\n\nEnables document-focused conversations:\n\n- Single and multi-document chat modes\n- Conversation persistence per document set with local storage\n- Export functionality for chat history\n- Multi-provider AI model support\n- Context-aware prompt building\n\n## Missing Features (Not Yet Implemented)\n\n- **User Authentication**: No user management or authentication system\n- **Database Persistence**: All data is stored in-memory (lost on restart)\n- **File Versioning**: No version control for uploaded documents\n- **Collaborative Features**: No multi-user collaboration capabilities\n- **Advanced Analytics**: No usage statistics or document analytics\n- **WebSocket Support**: No real-time collaboration features\n- **File Encryption**: No encryption for sensitive documents\n- **Backup/Restore**: No automated backup system for conversations and notes\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmontraydavis%2Faidocumentrag","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmontraydavis%2Faidocumentrag","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmontraydavis%2Faidocumentrag/lists"}