# Ollama | |
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<img src="https://github.com/infiniflow/ragflow/assets/12318111/2019e7ee-1e8a-412e-9349-11bbf702e549" width="130"/> | |
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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'. | |
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<img src="https://github.com/infiniflow/ragflow/assets/12318111/a9df198a-226d-4f30-b8d7-829f00256d46" width="1300"/> | |
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> Base URL: Enter the base URL where the Ollama service is accessible, like, `http://<your-ollama-endpoint-domain>:11434`. | |
- Use Ollama Models. | |
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<img src="https://github.com/infiniflow/ragflow/assets/12318111/60ff384e-5013-41ff-a573-9a543d237fd3" width="530"/> | |
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