🚀 Project 38: AI-Powered Document Management & Knowledge Base SystemA Document Management & Knowledge Base System is an advanced full-stack project where users can upload, organize, search, summarize, and ask questions about documents using AI.
Think of it as building a mini intelligent company knowledge platform where employees can search through PDFs, Word documents, policies, manuals, reports, and other files using natural language.
This project is excellent for learning modern AI application architecture such as RAG, embeddings, vector databases, document processing, authentication, and semantic search.
🎯 Project GoalBuild a platform where users can:
📄 Upload documents
📁 Organize documents into folders
🔍 Search documents
🤖 Ask questions about documents
📝 Generate AI summaries
🏷️ Add tags
👥 Share documents
🔐 Control access
📊 View document analytics
🛠 Technologies UsedFrontend: HTML5, CSS3, JavaScript, React
Backend: Node.js, Express.js
AI Service: Python, FastAPI, LLM API, LangChain or LlamaIndex
Database: PostgreSQL
Vector Database: pgvector, ChromaDB, FAISS
File Storage: Amazon S3 or Cloudinary
Authentication: JWT, bcrypt
📂 Project Folder Structuredocument-ai/
├── client/
│ ├── components/
│ │ ├── DocumentUpload.jsx
│ │ ├── DocumentViewer.jsx
│ │ ├── SearchBar.jsx
│ │ └── ChatAssistant.jsx
│ ├── pages/
│ ├── dashboard/
│ ├── services/
│ ├── App.js
│ └── index.js
├── server/
│ ├── routes/
│ ├── controllers/
│ ├── models/
│ ├── middleware/
│ └── server.js
├── ai-service/
│ ├── document_parser.py
│ ├── embeddings.py
│ ├── retriever.py
│ ├── summarizer.py
│ └── main.py
└── README.md
🎨 Application FlowUser Login → Upload Document → Extract Text → Split Into Chunks → Generate Embeddings → Store in Vector Database → User Asks Question → Semantic Search → Retrieve Relevant Content → AI Generates Answer
📌 Features✅ User AuthenticationSupport roles: 👤 User, 👨💼 Manager, 👑 Administrator
Example API: POST /api/auth/register, POST /api/auth/login
📄 Document UploadAllow PDF, DOCX, TXT, CSV, XLSX
Example:
<input type="file" accept=".pdf,.docx,.txt,.csv,.xlsx" />📁 Document OrganizationFolders, Categories, Tags, Favorites
Documents
├── Finance
│ ├── Annual Report.pdf
│ └── Budget.xlsx
├── HR
│ ├── Leave Policy.pdf
│ └── Employee Handbook.pdf
└── Technology
├── Architecture.pdf
└── API Documentation.pdf
🔍 Traditional SearchFile name, Tags, Categories, Keywords, Upload date
🧠 Semantic SearchAsk: "What is the company's leave policy?"
Finds: "Employees are entitled to 20 days of annual leave..." even without exact keyword match.
🤖 AI Document AssistantUser: What is the refund policy?
AI: According to the uploaded policy document, refund requests must be submitted within 30 days of purchase.
📝 AI Summarization[ Summarize Document ] → Main purpose, Important points, Key dates, Requirements, Conclusions
🏷️ Automatic Document TaggingExample: Annual Financial Report.pdf → Category: Finance, Tags: Financial Report, Revenue, Expenses, Annual
📊 Document AnalyticsTotal Documents, Total Storage, Most Viewed Documents, Most Searched Topics, AI Questions Asked, Popular Categories
👥 Document SharingPermissions: View, Comment, Edit, Download, Admin
🔐 Role-Based AccessAdmin → All Documents
Manager → Department Documents
Employee → Authorized Documents
Enforce permissions on the backend too.💻 Example Backend APIapp.get(
"/api/documents",
authenticateUser,
async (req, res) => {
const documents = await Document.find({
owner: req.user.id
});
res.json(documents);
}
);
