This repository provides hands-on examples for building Retrieval-Augmented Generation (RAG) systems locally. The primary example demonstrates how to create a document QA system using Langchain for orchestration, Ollama for local LLM inference, and Streamlit for the user interface. It is designed as a learning tool to help newcomers understand concepts of working with LLMs, not for production use.