Building 5 Practical RAG Systems in Python: From Scratch to Agentic, Multimodal, and Real-Time RAG

1. 1Clone the Applied-RAG-Systems repository to access the project code
2. 2Install the required libraries and dependencies to run the RAG systems
3. 3Build a basic RAG system from scratch using Python and the Hugging Face Transformers library
4. 4Implement an agentic RAG system that can interact with users and generate responses
5. 5Test and evaluate the performance of the RAG systems using various metrics and datasets

Data scientists, machine learning engineers, and NLP specialists can benefit from this tutorial to improve their skills in building RAG systems and applying them to various tasks, such as text generation and question answering

💡 RAG systems can be used for a wide range of NLP tasks, including text generation, question answering, and dialogue systems, and can be built and customized using Python and various libraries

🚀 Build 5 practical RAG systems in Python, from scratch to advanced applications! 🤖