What is a Local AI Research Gateway? Building a local research stack gives you total privacy by keeping your data and LLM execution entirely on your hardware. By combining Ollama with Open WebUI and SearXNG, you can create a localized version of modern chat interfaces capable of real-time web search. Key Components: Ollama: The backend engine handling model execution locally. Open WebUI: The interface for chat and agent orchestration. SearXNG: A self-hosted metasearch engine that feeds real-time web data directly to the LLM. How to get started: Host Ollama: Run Ollama natively on your Ubuntu host to maximize GPU access for your local models (like gemma2:2b). Deploy via Docker: Use a docker-compose.yml to spin up Open WebUI and SearXNG containers. Bridge the Connection: In Open WebUI, navigate to Admin Panel > Settings > Web Search and set the Query URL to http://host.docker.internal:8080/search?q=<query>. Configure Search: Set the “Search Result Count” to 3 to ensure memory usage stays within the limits of constrained hardware. ...

Why Run AI Locally? Ollama allows you to run Large Language Models (LLMs) directly on your desktop. While cloud solutions like ChatGPT or Gemini offer massive horsepower, they require you to send your data to external servers. Running a local LLM provides: Data Sovereignty: Your prompts and data never leave your machine. Zero Cost: No monthly subscriptions or API usage fees. Offline Access: Work without an internet connection. Security: Ideal for analyzing sensitive documents or private codebases. ...