Module 8: Retrieval-Augmented Generation (RAG)

Welcome to the Retrieval-Augmented Generation (RAG) module!

RAG is an approach that significantly reduces the hallucination issue common in LLMs. RAG enables the model to access and utilize supplementary information from external data sources, thereby improving the accuracy of its responses.

By the end of this module, you will be able to build RAG-powered applications by leveraging various Cohere endpoints – Chat, Embed, and Rerank. You will also learn how to use quickstart connectors, which are pre-built implementations to connect a RAG application to over 80 enterprise datastores.

Here is what you'll learn in this module: