Unlocking Data with Generative AI and RAG

6

Interfacing with RAG and Gradio

In almost all cases, retrieval-augmented generation (RAG) development involves the creation of one or more applications, or apps for short. When coding RAG apps initially, you will often create a variable in your code that represents a prompt or some other type of input that in turn represents what the RAG pipeline will work off of. But is that how future users will use the app you are building? How do you test this with these users using your code? You need an interface!

In this chapter, we will provide a practical guide to making your application interactive with RAG using Gradio as a user interface (UI). It covers setting up the Gradio environment, integrating RAG models, creating a user-friendly interface ...