# Getting Started

## Sign-up

Superuser or admin can invite new users to join Karini AI. Once invited, new user should follow these steps to complete the sign-up process:

* You will receive an invitation email.
* Open your web browser and go to <https://app.karini.ai/signin>.
* Click on the **Sign Up.**
* Fill in the required information:
  * **Full name:** Enter full name.
  * **Email :** Provide a valid email address for communication and account verification.
* Click **Submit.**
* Follow the on-screen instructions to finalize sign up process.

## Sign-in

* Users can log in to the Karini Al platform using three different methods:&#x20;
  * &#x20;**Email and Password:** Use your registered email and password to access your account.
  * **Continue with Google:** Sign in using your Google account.
  * **Continue with Azure AD:** Sign in using your Azure AD credentials.

## Getting Started

A new user can follow the steps described on "Getting Started" menu to complete the setup of resources in Karini platform.

* [Setup AWS credentials](/karini-ai-documentation/organization.md#setup-aws-credentials)
* [Model Provider Credentials](/karini-ai-documentation/organization.md#openai-credentials)
* [Data connector Provider Credentials](/karini-ai-documentation/organization.md#data-connector-provider-credentials)
* [Databricks Runtime Credentials](/karini-ai-documentation/organization.md#databricks-runtime-credentials)
* [Register embeddings model](/karini-ai-documentation/model-hub/embeddings-models.md)
* [Register LLM](/karini-ai-documentation/model-hub/large-language-models-llms.md)
* [Global Default Model Endpoints](/karini-ai-documentation/organization.md#global-defauly-model-endpoints)
* [Create Prompt](/karini-ai-documentation/prompt-management/create-prompt.md)
* [Create Recipe](/karini-ai-documentation/recipes/knowledgebase-recipe.md)


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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.