🤖 Groq RAG Chatbot

Smart Document Q&A with Retrieval-Augmented Generation (RAG)

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📌 Overview

This project allows you to upload large PDF documents (300+ pages) and ask questions in plain English.
It uses Retrieval-Augmented Generation (RAG) to provide accurate, context-aware answers.

🎯 Use Cases

• 📚 Students – Query textbooks, syllabi, research papers
• 👨‍💼 Professionals – Analyze contracts and reports
• 🔬 Researchers – Search academic documents
• 📖 Teachers – Build interactive Q&A systems

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⭐ Features

• 📚 Supports large PDFs (300+ pages)
• 🔍 Semantic search using embeddings
• 🧠 Efficient RAG pipeline
• ⚡ Ultra-fast inference with Groq
• 💬 Clean and responsive UI
• 🔒 API key stays local (secure)

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🏗️ Architecture

PDF → Chunking → Embeddings → FAISS Index
                             ↓
User Query → Embedding → Top-K Retrieval → Groq LLM → Answer

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🛠️ Tech Stack

Technology	Purpose
Flask	Backend framework
Groq API	LLM inference
Sentence Transformers	Text embeddings
FAISS	Vector search
PyPDF2 / pdfplumber	PDF extraction

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📋 Prerequisites

• Python 3.8+
• Git
• Groq API Key

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🚀 Installation

git clone https://github.com/ysujith728/groq-chatbot-rag.git
cd groq-chatbot-rag

# Create virtual environment
python -m venv venv

# Activate (Windows)
venv\Scripts\activate

# Activate (Mac/Linux)
source venv/bin/activate

pip install -r requirements.txt

# Create .env file
GROQ_API_KEY=your_api_key_here

python app.py

Open: http://localhost:5000

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💬 Example Questions

• What are the course outcomes?
• List all programming languages taught
• What is the credit distribution?
• Summarize the objectives
• What AI electives are available?

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📊 Performance

Metric	Value
Max PDF Size	100MB
Pages	~500
Chunk Size	1500 chars
Response Time	2–5 sec
Embedding Model	all-MiniLM-L6-v2

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📁 Project Structure

groq-chatbot-rag/
│
├── app.py
├── requirements.txt
├── .env.example
├── README.md
├── LICENSE
│
├── templates/
│   └── index.html
│
├── uploads/        (ignored)
├── chunks/         (ignored)
└── screenshots/
    └── demo.png

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🐛 Troubleshooting

RAG not working

pip install sentence-transformers faiss-cpu numpy

API Key issue

GROQ_API_KEY=your_key

PDF issue

• Ensure PDF has selectable text (not scanned)

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🤝 Contributing

1. Fork the repo
2. Create branch: feature/your-feature
3. Commit changes
4. Push and open PR

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📄 License

MIT License

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⭐ Support

• ⭐ Star the repo
• 🔁 Share it
• 🤝 Contribute

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❤️ Built With

Groq’s ultra-fast inference engine