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RAGPro 🚀

Welcome to RAGPro, a comprehensive repository dedicated to mastering Retrieval-Augmented Generation (RAG) systems. From foundational concepts to advanced implementations, this repo provides curated resources, code examples, and practical guides to help you excel in building intelligent, knowledge-enhanced AI systems.

📚 Table of Contents

• Features
• Advanced RAG Techniques
• Agentic RAG Techniques
• Installation
• Usage
• Tech Stack
• Contributing
• License
• Contact

🚀 Key Features

• Comprehensive Coverage: From basic RAG concepts to advanced and agentic techniques.
• Hands-On Notebooks: Colab-ready examples for quick experimentation.
• Cutting-Edge Tools: Implementations using LangChain, Hugging Face, Pinecone, ChromaDB, and more.
• Real-World Applications: Practical use cases for question-answering, document retrieval, and conversational AI.
• Community-Driven: Designed for ease of contribution and collaboration.

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⚡ Installation

# Clone the repository
git clone https://github.com/aliarmaghan/RAGPro.git
cd RAGPro

# Install dependencies
pip install -r requirements.txt

# Set environment variables
export OPENAI_API_KEY="your-api-key"
export GROQ_API_KEY="your-groq-api-key"

💻 Usage

from langchain.chains import RetrievalQA

# Initialize your RAG pipeline
qa_chain = RetrievalQA.from_chain_type(
    llm=OpenAI(),
    chain_type="stuff",
    retriever=vector_store.as_retriever()
)

# Execute query
response = qa_chain.run("What is the difference between AI and ML?")
print(response)

🛠️ Tech Stack

• Core AI: OpenAI GPT, LangChain, Hugging Face
• Vector Databases: Pinecone, ChromaDB, FAISS
• APIs: Groq API, CrewAI
• Frameworks: FastAPI, Streamlit
• Deployment: Docker, Streamlit Cloud

🤝 Contributing

We welcome contributions! Follow these steps:

1. Fork the repository.
2. Create your feature branch: git checkout -b feature/amazing-feature.
3. Commit your changes: git commit -m 'Add amazing feature'.
4. Push to the branch: git push origin feature/amazing-feature.
5. Open a pull request.

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

📧 Contact

Md Ali Armaghan