This tutorial demonstrates CHORUS, a novel framework that uses Large Language Models (LLMs) with Retrieval-augmented Generation (RAG) to generate Linear Programming (LP) code from natural language descriptions. Participants will learn how CHORUS generates accurate Gurobi solver code, connecting theory with practical use. The session will cover LP basics, the role of LLMs in code generation, and the unique approach of CHORUS, including its two-stage retrieval and crossencoder reranking. Through interactive demos, attendees will understand the structure and applications of the framework. This tutorial aims to equip researchers and practitioners with skills to use CHORUS for optimization tasks and inspire advancements in automated code generation.