Ollama

Ollama lets Learnitive connect to models served by Ollama on your own computer. Learnitive treats local-model verification and cloud-backed Ollama models differently so a localhost connection is not automatically assumed to mean local inference.

Download Ollama

Install Ollama using the official installer for your operating system, then keep the Ollama service running while you use it with Learnitive.

Run a model

Download or start a model with normal Ollama commands. For example:

ollama run llama3.2
ollama run qwen2.5-coder

Use ollama list to confirm that at least one model is available locally.

Allow the Learnitive origin

Learnitive runs at https://www.learnitive.com while Ollama normally runs on localhost. Configure Ollama to allow the Learnitive browser origin and restart the service:

OLLAMA_ORIGINS=https://www.learnitive.com

Use Ollama's current operating-system instructions for setting that environment variable.

Connect from Learnitive

Open AI Settings or the AI Assistant and choose Use Local Ollama. Refresh model discovery after adding or removing models. Learnitive checks the local service and validates the selected model before sending project or manuscript context through the local-service path.

Local versus cloud-backed models

Ollama can expose models whose inference is not actually local. Learnitive does not treat localhost alone as proof of local inference. Remote/cloud-backed models are kept out of the verified-local path.

Privacy Mode

Privacy Mode prevents cloud fallback/context use where the policy requires it. A verified local Ollama workflow can remain available without silently converting into a cloud request.

Troubleshooting

If discovery fails, confirm Ollama is running, visit the Ollama service locally, verify OLLAMA_ORIGINS, run ollama list, then use Refresh Ollama. See Ollama Troubleshooting.