RAG From Scratch

Overview

This repository provides a comprehensive guide to building Retrieval-Augmented Generation (RAG) systems from the ground up. It is ideal for developers and researchers looking to deepen their understanding of embeddings, vector search, and context-augmented generation without relying on black box solutions.