This article demonstrates how to create a local, searchable AI assistant using Ollama and the language model llama3.2, leveraging Retrieval Augmented Generation (RAG) to improve the accuracy and relevance of responses. It highlights the benefits of avoiding external API dependencies and provides a practical guide for setting up this system.