DocuQuery

A full-stack application that allows users to upload PDF documents and ask questions about their content using AI-powered natural language processing.

Features

• PDF Upload: Upload and store PDF documents
• Document Management: View, organize, and access your uploaded documents
• AI-Powered Q&A: Ask questions about your documents and receive accurate answers
• Conversational Interface: Follow-up questions and contextual understanding
• Multi-Document Analysis: Connect information across multiple documents
• Semantic Search: Find information based on meaning, not just keywords

Technologies Used

Backend

• Framework: FastAPI
• NLP Processing: LangChain
• Database: PostgreSQL
• PDF Processing: PyMuPDF
• FileStorage: Cloudinary

Frontend

• Framework: React.js
• Styling: Tailwind CSS, shadcn

Setup Instructions

Prerequisites

• Python 3.8+
• Node.js 14+ and npm
• Git
• Cloudinary

Backend Setup

1. Clone the repository

   git clone https://github.com/yourusername/pdf-qa-system.git
   cd pdf-qa-system/backend

2. Create and activate a virtual environment

   python -m venv venv
   
   # On Windows
   venv\Scripts\activate
   
   # On macOS/Linux
   source venv/bin/activate

3. Install dependencies

   pip install -r requirements.txt

4. Set up environment variables

   # Create a .env file with the following variables
   DATABASE_URL=postgresql:///./app.db
   # Add any API keys for LLM services if needed

5. Initialize the database

   python init_db.py

6. Start the backend server

   uvicorn main:app --reload

   The backend will be running at http://localhost:8000

Frontend Setup

1. Navigate to the frontend directory

   cd ../frontend

2. Install dependencies

   npm install

3. Configure the API endpoint

   # Create a .env file with the backend URL
   REACT_APP_API_URL=http://localhost:8000

4. Start the development server

   npm start

   The frontend will be running at http://localhost:3000