Summary:
- This article discusses how to use the Retrieval-Augmented Generation (RAG) pipeline with Keras Hub, which is a library for building and deploying machine learning models.
- The RAG pipeline combines a retriever model (which finds relevant information from a knowledge base) and a generator model (which generates text based on the retrieved information).
- The article provides step-by-step instructions on how to set up and use the RAG pipeline with Keras Hub, including how to load the necessary models, preprocess the input data, and generate text using the pipeline.