Welcome to the RAG-Models repository! 🚀 This repository serves as a growing collection of various Retrieval-Augmented Generation (RAG) models that I will be developing and refining throughout the year.
In this repository, you'll find:
✅ Jupyter Notebooks with step-by-step implementations of different RAG architectures.
✅ Pre-trained & fine-tuned models on various datasets.
✅ Research insights and practical applications of RAG in real-world use cases.
✅ Code samples for integrating RAG into your projects.
To explore the models and implementations, clone this repository:
git clone https://github.com/your-username/RAG-Models.git
cd RAG-Models