Ollama

Ollama is a command-line-first tool for downloading, running, and managing large language models locally, on your own hardware, rather than through a cloud API. It packages open-weight models into a simple format that can be pulled with a single command (ollama pull llama3.2) and run with minimal setup.

Local AIis beyond just chatting with models in the terminal, Ollama exposes a local API server that other applications can connect to — which is what makes it popular as a backend for tools like Obsidian plugins, coding assistants, and custom scripts, rather than a standalone chat app. Because it’s lightweight, scriptable, and easy to automate, Ollama tends to suit people comfortable with the command line who want to wire local models into other software.

It supports a wide range of quantized open models sized to fit modest hardware, making local, private inference practical even without a high-end GPU — running entirely offline once a model is downloaded, with no data leaving the machine.

Role in this vault

Ollama is the kind of tooling that could eventually power retrieval-augmented search directly within this vault — allowing questions to be answered by pulling from the notes themselves rather than a general-purpose model with no knowledge of this content.