🧠 Memora

Your AI-Powered Second Brain
An intelligent knowledge management platform that transforms documents into a searchable, AI-powered knowledge base using Retrieval-Augmented Generation (RAG), semantic search, knowledge graphs, and personalized revision recommendations.

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🌐 Live Demo

🚀 Frontend

memora-sigma-six.vercel.app

⚡ Backend API

memora-production-3fae.up.railway.app

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✨ Features

📄 Smart Document Upload

• Upload PDF documents
• Automatic text extraction
• Intelligent document chunking
• Stores document metadata
• Cloud-based vector storage

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🔍 Semantic Search

Search documents using natural language instead of keywords.

• Embedding-based retrieval
• Context-aware search
• Instant results
• Powered by Qdrant Vector Database

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💬 AI Chat (RAG)

Ask questions about uploaded documents.

• Retrieval-Augmented Generation
• Google Gemini integration
• Context-aware responses
• Source-aware answers

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🧠 Knowledge Graph

Automatically generates relationships between concepts.

• Topic extraction
• Relationship detection
• Interactive graph visualization
• Better understanding of connected knowledge

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📚 AI Revision Engine

Personalized revision recommendations based on retention score.

• Weak topic detection
• Revision priority
• Suggested revision strategy
• Retention analytics

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📊 Dashboard Analytics

Track your learning progress.

• Documents uploaded
• Topics discovered
• Strong topics
• Weak topics
• Average retention score

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🌙 Modern UI

• Responsive Design
• Dark Mode
• Beautiful Dashboard
• Mobile Friendly
• Interactive Search
• Notification System

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🏗 Architecture

                PDF Upload
                     │
                     ▼
              Text Extraction
                     │
                     ▼
              Document Chunking
                     │
                     ▼
           Sentence Embeddings
                     │
                     ▼
           Qdrant Vector Database
                     │
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           Semantic Retrieval
                     │
                     ▼
          Google Gemini (RAG)
                     │
                     ▼
            AI Generated Answer

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🛠 Tech Stack

Frontend

• Next.js
• React
• Tailwind CSS
• shadcn/ui
• Axios
• Lucide Icons

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Backend

• FastAPI
• Python
• JWT Authentication
• PyMuPDF

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AI & ML

• Google Gemini API
• Sentence Transformers
• all-MiniLM-L6-v2
• Retrieval-Augmented Generation (RAG)

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Database

• MongoDB Atlas
• Qdrant Cloud

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Deployment

• Vercel
• Railway

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📂 Project Structure

Memora
│
├── backend
│   ├── app
│   ├── api
│   ├── services
│   ├── database
│   ├── schemas
│   └── main.py
│
└── frontend
    ├── app
    ├── components
    ├── services
    ├── context
    └── public

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🚀 Getting Started

Clone Repository

git clone https://github.com/YOUR_USERNAME/Memora.git

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Backend

cd backend

python -m venv venv

venv\Scripts\activate

pip install -r requirements.txt

uvicorn main:app --reload

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Frontend

cd frontend

npm install

npm run dev

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🔑 Environment Variables

Backend (.env)

GEMINI_API_KEY=

JWT_SECRET_KEY=

MONGODB_URL=

DATABASE_NAME=

ALGORITHM=HS256

ACCESS_TOKEN_EXPIRE_MINUTES=60

QDRANT_URL=

QDRANT_API_KEY=

QDRANT_COLLECTION=memora_chunks

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Frontend (.env.local)

NEXT_PUBLIC_API_URL=

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📸 Application Preview

Dashboard	Upload

Documents	Chat

Graph	Revision

Topics	Dark Mode

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🔮 Future Improvements

• Background document processing
• Batch embedding generation
• DOCX & PPT support
• YouTube transcript ingestion
• OCR for scanned PDFs
• AI flashcards
• Spaced repetition scheduler
• Team collaboration
• Voice-based AI assistant

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🤝 Contributing

Contributions, issues, and feature requests are welcome!

Feel free to fork the repository and submit a pull request.

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👨‍💻 Author

Kavya Agarwal

GitHub: https://github.com/KA18202005

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⭐ Support

If you found this project useful,

please consider giving it a ⭐ on GitHub.

It really helps!