🤖 Legal Q&A RAG Bot

An AI-powered Legal Question-Answering system that uses Retrieval-Augmented Generation (RAG) to provide accurate responses from a legal document database. It combines LangChain, vector embeddings, and OpenAI’s GPT models to ensure reliable legal answers.

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🚀 Features

• ✅ Ask Legal Questions – Get answers based on actual legal documents.
• ✅ Retrieval-Augmented Generation (RAG) – Combines document context with GPT for accuracy.
• ✅ LangChain Integration – Handles document loading, chunking, and chaining.
• ✅ Embedding + Vector Store – Converts documents into vectors for semantic search.
• ✅ Simple Streamlit UI – Easy-to-use web interface.
• ✅ OpenAI GPT – Powered by GPT-3.5/4 for final response generation.

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📁 Project Structure

legal-qa-rag-bot/
├── .gitignore
├── LICENSE
├── README.md
├── requirements.txt
├── app.py                # Streamlit app UI
├── qa_chain.py           # LangChain question-answering logic
├── vector_store.py       # Vector DB (FAISS) logic
├── data/
│   └── legal_docs/       # Upload your PDF/DOCX legal files here
├── .env                  # API keys (DO NOT COMMIT)

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🛠️ Tech Stack

• Python 3.11+
• LangChain
• FAISS (Facebook AI Similarity Search)
• OpenAI GPT-3.5/4
• Streamlit for UI
• python-dotenv

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▶️ How to Run

1. Create a virtual environment:

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

2. Install dependencies:

pip install -r requirements.txt

3. Set up .env file:

Create a .env file in the root with this line:

OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

4. Add Legal Documents:

Place your .pdf or .docx files inside the data/legal_docs/ folder.

5. Run the app:

streamlit run app.py

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✅ Best Practices

• Never commit .env or API keys.
• Add this to your .gitignore file:

.env

• Clean up large or unnecessary files before pushing.

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🧪 Testing & Output

• Ask natural language legal questions.
• Answers will be based only on your uploaded documents.
• Everything happens locally except OpenAI API calls.

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💡 Future Enhancements

• 🔐 Authentication for private deployments
• 📊 Admin dashboard for monitoring usage
• 💬 Chat history + feedback collection
• 🌍 Multi-language support
• 🧠 Plug into government APIs or court data

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📝 License

This project is licensed under the MIT License.

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🤝 Contributing

Pull requests are welcome. For major changes, open an issue first to discuss the improvements you'd like to make.

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📸 Demo Screenshot (Optional)

Place your demo images or gifs in a `screenshots/` folder and reference like:

![App Screenshot](screenshots/demo.png)

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🔗 Useful Commands

git init
git add .
git commit -m "Initial commit"
git branch -M main
git remote add origin https://github.com/YOUR_USERNAME/legal-qa-rag-bot.git
git push -u origin main

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