3
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 ...
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