# Ollama <div align="center" style="margin-top:20px;margin-bottom:20px;"> <img src="https://github.com/infiniflow/ragflow/assets/12318111/2019e7ee-1e8a-412e-9349-11bbf702e549" width="130"/> </div> One-click deployment of local LLMs, that is [Ollama](https://github.com/ollama/ollama). ## Install - [Ollama on Linux](https://github.com/ollama/ollama/blob/main/docs/linux.md) - [Ollama Windows Preview](https://github.com/ollama/ollama/blob/main/docs/windows.md) - [Docker](https://hub.docker.com/r/ollama/ollama) ## Launch Ollama Decide which LLM you want to deploy ([here's a list for supported LLM](https://ollama.com/library)), say, **mistral**: ```bash $ ollama run mistral ``` Or, ```bash $ docker exec -it ollama ollama run mistral ``` ## Use Ollama in RAGFlow - Go to 'Settings > Model Providers > Models to be added > Ollama'. <div align="center" style="margin-top:20px;margin-bottom:20px;"> <img src="https://github.com/infiniflow/ragflow/assets/12318111/a9df198a-226d-4f30-b8d7-829f00256d46" width="1300"/> </div> > Base URL: Enter the base URL where the Ollama service is accessible, like, `http://<your-ollama-endpoint-domain>:11434`. - Use Ollama Models. <div align="center" style="margin-top:20px;margin-bottom:20px;"> <img src="https://github.com/infiniflow/ragflow/assets/12318111/60ff384e-5013-41ff-a573-9a543d237fd3" width="530"/> </div>