Exploring Agent-Based LLM Systems

This article explores the development and implementation of a Retrieval-Augmented Generation (RAG) system utilizing Large Language Model (LLM) agents to assist users in generating queries within Indeed’s proprietary big data environment, which employs the Imhotep Query Language (IQL). The system aims to reduce the complexity and barriers associated with IQL, making it more accessible to non-technical users familiar with SQL. By integrating a sequence of specialized agents — Thinker, Refiner, and Decider — each with distinct strategies, the system facilitates the query generation process…