LLM-Zero-to-Hundred

Why we included this project

Developers who learn best by running code will get more out of this repo than a typical tutorial. It collects several working LLM projects: a document-chat RAG bot, a web-search-augmented chatbot, an agentic assistant built on LangGraph with a microservice architecture, and a fine-tuning pipeline that processes raw data, trains three models, and keeps the best one. Every project follows the same folder layout with configs, sample data, and source, so it is easy to run and then modify. The function-calling and vectorization tutorials, plus a head-to-head comparison of LangChain and LlamaIndex for RAG, round it out. For engineers trying to see how these pieces behave in a realistic setup, it is a solid reference.