GitHub repository: Joseph-Essa/Retrieval_Augmented_Generation_RAG_App
Primary language: Python
Description: This project is a Retrieval-Augmented Generation (RAG) system that uses Large Language Models (LLMs) with external knowledge retrieval to provide accurate, context-aware answers from custom documents. Built with FastAPI, it features document ingestion, vector search, and LLM-based response generation via high-performance RESTful APIs.