📘 Project Title: Simple RAG System

🧠 Description

A Retrieval-Augmented Generation (RAG) tool that queries a vector database and provides concise answers (max 100 words) via CLI or Streamlit.

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✨ Features

• CLI Interface
  Run queries directly from the terminal via main.py.

• Web Interface
  Interactive UI built with Streamlit in app.py.

• Modular Logic
  Core RAG operations separated into the logic/ folder.

• Security
  API keys managed via .env files.

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⚙️ Installation & Setup

1. Clone the Repository

git clone <your-repo-link>
cd <your-repo-folder>

2. Create a Virtual Environment

python -m venv .myenv
source .myenv/bin/activate  # On Windows: .myenv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Environment Variables

OPENAI_API_KEY=your_actual_key_here

🚀 Usage

Run the CLI

python main.py

Run the Streamlit App

streamlit run app.py

📁 Project Structure

• main.py
  Entry point for the CLI application.

• app.py
  Entry point for the Streamlit web application.

• logic/
  Contains the backend logic for document processing and vector database queries.

• .env.example
  A template for required environment variables.