Practical Applications of RAG

In Chapter 1, we listed several ways retrieval-augmented generation (RAG) is being implemented in AI applications, such as customer support with chatbots, automated reporting, product descriptions, searchability and utility of knowledge bases, innovation scouting, content personalization, product recommendations, and training and education.

In this chapter, we will cover the following topics:

• Customer support and chatbots with RAG
• RAG for automated reporting
• E-commerce support
• Utilizing knowledge bases with RAG
• Innovation scouting and trend analysis
• Content personalization for media and content platforms
• Leveraging RAG for personalized recommendations in marketing communications
• Training and education
• Code lab 3.1 – Adding sources to your RAG

These topics should provide a comprehensive understanding of the broad scope and versatility of RAG.

The examples presented in this chapter are not meant...