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