Deploying and Implementing Enterprise RAG Solution Accelerator (GPT-RAG) — Basics vs. Zero-Trust Architecture

Explore the principles of the RAG pattern and learn how to deploy, troubleshoot, and customize GPT-RAG.

Objectives

• Define what the Retrieval Augmented Generation (RAG) pattern is.
• Outline why and when the RAG pattern is used.
• Deploy the Enterprise RAG Solution Accelerator (GPT-RAG).
• Identify key GPT-RAG resources.

Introduction

The Retrieval Augmented Generation (RAG) pattern enables businesses to capitalize on the reasoning capabilities of Large Language Models (LLMs), using their existing models to process and generate responses based on new data. RAG facilitates periodic data updates without the need for re-training or fine-tuning, thereby streamlining the integration of LLMs into businesses.

Reference implementation of the Retrieval-Augmented Generation (RAG) pattern (GPT-RAG/docs/RAG_CONCEPTS.md at main · Azure/GPT-RAG)

The Enterprise RAG Solution Accelerator (GPT-RAG) offers a robust architecture tailored for enterprise-grade deployment of the RAG pattern. It…