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model-selection

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Mendon Kissling 2025-09-26 15:59:22 -04:00
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docs/docs/get-started/install.mdx
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@ -79,8 +79,42 @@ For more information on virtual environments, see [uv](https://docs.astral.sh/uv
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7. To open the OpenRAG application, click **Open App** or press <kbd>6</kbd>.
8. Continue with the Quickstart.
7. To open the OpenRAG application, click **Open App**, press <kbd>6</kbd>, or navigate to `http://localhost:3000`.
The application opens.
8. Select your language model and embedding model provider, and complete the required fields.
**Your provider can only be selected once, and you must use the same provider for your language model and embedding model.
To change your selection, you must restart OpenRAG.**
<Tabs groupId="Embedding provider">
<TabItem value="OpenAI" label="OpenAI" default>
9. You already entered a value for `OPENAI_API_KEY` in the TUI in Step 5, so enable **Get API key from environment variable**.
10. Under **Advanced settings**, select your **Embedding Model** and **Language Model**.
11. To load 2 sample PDFs, enable **Sample dataset**.
This is recommended, but not required.
12. Click **Complete**.
</TabItem>
<TabItem value="IBM" label="IBM">
9. Complete the fields for **watsonx.ai API Endpoint**, **IBM API key**, and **IBM Project ID**.
These values are found in your IBM watsonx deployment.
10. Under **Advanced settings**, select your **Embedding Model** and **Language Model**.
11. To load 2 sample PDFs, enable **Sample dataset**.
This is recommended, but not required.
12. Click **Complete**.
</TabItem>
<TabItem value="Ollama" label="Ollama">
9. Enter your Ollama server's base URL address.
The default Ollama server address is `http://localhost:11434`.
10. Select the **Embedding Model** and **Language Model** your Ollama server is running.
11. To load 2 sample PDFs, enable **Sample dataset**.
This is recommended, but not required.
12. Click **Complete**.
</TabItem>
</Tabs>
8. Continue with the [Quickstart](/quickstart).
### Advanced Setup {#advanced-setup}