RAG implementation Archives

Implementing Retrieval-Augmented Generation (RAG) in NLP: Step-by-Step Guide

Eaton HicksJuly 26, 2024November 6, 2024011 mins

Retrieval and generation in NLP have set the stage for more complex models such as the Retrieval-Augmented Generation (RAG). RAG integrates retrieval models and generative models to provide better and contextually appropriate answers. In this guide, you will learn how to apply RAG for NLP applications, including data preprocessing, choosing a model, incorporating retrieval models,…

Challenges and Solutions in Implementing Retrieval-Augmented Generation (RAG)

Eaton HicksJuly 18, 2024November 6, 2024010 mins

Among all the contemporary approaches in the field of artificial intelligence, Retrieval-Augmented Generation (RAG) can be considered one of the most effective. Thus, by incorporating the retrieval mechanisms into the generative models, RAG improves the generation process and provides more accurate and contextually relevant outputs. However, getting to efficient RAG implementation is not without its…