Incorporating enterprise data using RAG

There are other ways of taking data and making it part of an LLM. It is possible to build a foundation model, but as mentioned, the training time and effort are extreme. Even with RAG, there are different approaches. Some technical resources are shared, but this chapter will focus on and teach RAG understanding and how product people can contribute to the development process. First, a RAG explanation.

Understanding RAG

RAG supplements LLMs with enterprise data. RAG is a technique for retrieving information, such as from a knowledge base, and it can generate responses from authoritative knowledge collection with coherent and contextually accurate answers.

This methodology allows us to overcome some generic model problems:

• Material is always up to date since it is evaluated when prompted.
• Tools can reference the document source and, thus, are more trustworthy.
• The foundational model is already trained, so supplementing...