What's included

• Retrieval-Augmented Generation (RAG) Model Implementation

  A fully functional RAG system integrating a language generation model with a custom retriever module for dynamic knowledge fetching. Optimized for real-time query handling with accurate context retrieval from specified datasets. Supports both dense and sparse retrieval techniques. Includes codebase, model training scripts, and deployment guidelines.