What Is Retrieval-Augmented Generation aka RAG

Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources.

Retrieval Augmented Generation (RAG)

An Easy Introduction to Multimodal Retrieval Augmented Generation

AI Pricing: Will the popularity of RAGs change how we price AI? I

How to prevent hallucinations and get answers from LLMs with RAG!, Asim Qureshi posted on the topic

Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers - DEV Community

Vector Database, Retrieval Augmented Generation, and Semantic

GenAI walkthrough: Deploy RAG on AWS for Secure Data Processing

What is Retrieval Augmented Generation? The Benefits of Implementing RAG in Using LLMs, Blog

Vector Database, Retrieval Augmented Generation, and Semantic

What is RAG: retrieval augmented generation (RAG)

Retrieval-Augmented Generation, aka RAG — How does it work?, by Shahriar Hossain, Mar, 2024