diff --git a/docs/docs/get-started/install.mdx b/docs/docs/get-started/install.mdx
index 67f4ae89..1b8f625e 100644
--- a/docs/docs/get-started/install.mdx
+++ b/docs/docs/get-started/install.mdx
@@ -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 6.
-8. Continue with the Quickstart.
+7. To open the OpenRAG application, click **Open App**, press 6, 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.**
+
+
+
+ 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**.
+
+
+
+ 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**.
+
+
+
+ 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**.
+
+
+
+
+8. Continue with the [Quickstart](/quickstart).
### Advanced Setup {#advanced-setup}