May 11, 2024, 1:58 a.m. | Joe Sasson

Towards Data Science - Medium towardsdatascience.com

Develop and deploy an entirely local RAG system from scratch

Photo by Kevin Ku on Unsplash

Introduction

High-level abstractions offered by libraries like llama-index and Langchain have simplified the development of Retrieval Augmented Generation (RAG) systems. Yet, a deep understanding of the underlying mechanics enabling these libraries remains crucial for any machine learning engineer aiming to fully leverage their potential. In this article, I will guide you through the process of developing a RAG system from the ground up. I …

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