Summary:
- This article introduces Rag Retrieval Augmented Generation (RAG), a technique that combines language models with information retrieval to generate more informative and relevant text.
- The article explains how RAG works by using a semantic kernel, which is a framework for integrating language models with external knowledge sources, such as databases or web pages.
- The article also provides an example of how to use RAG with the Semantic Kernel library in Java, demonstrating how to retrieve relevant information and use it to generate more informative and coherent text.