If you've ever wanted a completely private, offline AI assistant that actually remembers what's in your documents — and doesn't forget your conversation the moment you open a new chat — this guide is for you. We're going to: Set up LM Studio running Google's Gemma 4 locally Install the Big RAG plugin to index your documents Modify the plugin source to add genuine persistent memory across sessions No cloud. No subscriptions. No data leaving your machine. What Is RAG and Why Does It Matter? RAG (Retrieval-Augmented Generation) lets you point a language model at your own files — PDFs, notes, documentation, whatever — and ask questions about them. Instead of the model relying on what it learned during training, it searches your documents in real time and injects the most relevant passages into the prompt before generating a response. The result: accurate, grounded answers from your data, not hallucinated guesses.…