I Automated My Research Workflow With Open Source LLMs, and I Finally Own My Data
How-To Geek, Monday, August 17th, 2026
A local stack of Ollama, embeddings and RAG delivers private, offline document research without cloud dependencies.
The author built a self-hosted research assistant combining Ollama inference, EmbeddingGemma embeddings and RAG to analyze documents locally.
The setup eliminates cloud service costs, prevents data exposure and works offline. Reasoning quality lags behind frontier models, but the system integrates with voice assistants and Discord bots.
Network access allows secure knowledge management across personal devices.