Building a RAG System from Scratch — Tool Use: Let the LLM Search Autonomously

The article explores how the RAG (Retrieval-Augmented Generation) system can now operate more autonomously through Tool Use, where the LLM (Large Language Model) decides when and how to call search functions. Previously, search() was always called before generating an answer in a hardcoded sequence. With Tool Use, the LLM now evaluates whether a search is needed, determines what to search for, and decides when it has enough information to respond. This shift is significant as it enhances the system's flexibility and efficiency, potentially making it more powerful and adaptive to various query types.