🧠 AI Second Brain

🚀 Your Personal AI Knowledge Assistant powered by RAG + Hybrid Intelligence

An advanced AI system that doesn’t just store information — it understands, retrieves, and intelligently responds using both your personal knowledge and general intelligence.

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🚀 Features

• 📝 Smart Note Storage
  Store and manage your personal knowledge

• 🤖 AI Q&A (Hybrid RAG System)

  • Answers from your notes (RAG-based)
  • Falls back to general knowledge if needed
  • Clearly mentions when answer is not from notes

• 🧠 Semantic Search with Embeddings
  Uses Sentence Transformers for meaning-based retrieval

• 📄 Document Understanding (PDF / DOCX / TXT)
  Upload files → auto chunking → ask questions

• ✨ AI Summarization
  Get concise summaries of notes and documents

• 🎯 Multi-Question Handling
  Handles multiple questions in one query

• 📊 System Stats
  Tracks notes count and AI usage

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🛠️ Tech Stack

Frontend

• Next.js
• TypeScript
• Tailwind CSS

Backend

• FastAPI

Database

• MongoDB

AI / ML

• Ollama (LLaMA3)
• Sentence Transformers (Embeddings)
• Cosine Similarity (Vector Search)

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🧠 How It Works

1. Data Processing

• Notes & documents stored in MongoDB
• Each note converted into vector embeddings

2. Query Understanding

• User query → embedding
• Compared with stored notes using cosine similarity

3. Retrieval (RAG)

• Top relevant notes selected dynamically
• Context created from best matches

4. Hybrid AI Response

• If answer exists in notes → uses notes
• If not → uses general knowledge
• Adds transparency: "This information is not from your personal notes."

5. Output

• Returns answer
• Shows sources only when relevant

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⚡ Why This Project Stands Out

• Not a basic RAG clone
• Hybrid system (RAG + General Knowledge)
• Semantic search (not just keyword matching)
• Handles edge cases intelligently
• Designed like a real-world AI product

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📸 Screenshots

🏠 Dashboard | 🤖 Ask AI

✨ AI Summary

📄 Upload Document

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⚙️ Setup

git clone https://github.com/mittalsonal/AI-Second-Brain.git
cd ai-second-brain

Frontend

cd frontend
npm install
npm run dev

Backend

cd backend
pip install -r requirements.txt
uvicorn app.main:app --reload

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⭐ Features Highlight

• RAG-based intelligent answering
• Context-aware responses
• Notes + PDF understanding system

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⭐ If you like this project, give it a star!