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 Command completed successfully ``` -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}