Retrieval Augmented Generation: What It Is and How to Start Using It

The article provides an overview of Retrieval Augmented Generation (RAG), a method that combines information retrieval and large language models to generate contextually relevant responses. It details the basics of RAG, its implementation in Elixir, and advanced techniques to improve RAG pipelines such as query expansion, re-ranking, function calling, document averaging, and generating citations. The post aims to help readers understand how to design effective RAG solutions using Elixir.

Visit Original Article →