Merge pull request #8 from mongodb-developer/cloud-agnostic-updates

Making workshop cloud agnostic and merging GenAI lab notebooks

Author: ajosh0504

docs/20-mongodb-atlas/1-create-account.mdx

@@ -0,0 +1,15 @@
+# 👐 MongoDB Setup
+
+:::caution
+If you are doing this lab as part of a MongoDB GenAI Developer Day, at this point you should already have a free cluster, so you can skip this step.
+:::
+
+In this lab, you will learn how to use MongoDB Atlas as a knowledge base as well as a memory provider for a RAG-based documentation chatbot.
+
+To use MongoDB Atlas, you will need to create an account, a free cluster and obtain the connection string to connect to your cluster. Follow these steps to get set up:
+
+* [Register for a free MongoDB Atlas account](https://mongodb-developer.github.io/intro-lab/docs/mongodb-atlas/create-account)
+
+* [Create a new database cluster](https://mongodb-developer.github.io/intro-lab/docs/mongodb-atlas/create-cluster)
+
+* [Obtain the connection string for your database cluster](https://mongodb-developer.github.io/intro-lab/docs/importing-data/get-connection-string)

docs/20-mongodb-atlas/1-setup.mdx

@@ -2,29 +2,33 @@ import Screenshot from "@site/src/components/Screenshot";
 
 # 👐 Setup dev environment
 
+:::caution
+If you are doing this lab as part of a MongoDB GenAI Developer Day, at this point you should already have the GitHub Codespace ready for this lab, so you can skip this step.
+:::
+
 ## Option 1: GitHub Codespaces
 
 You will be working in a Jupyter Notebook in a GitHub Codespace throughout this lab. A codespace is a cloud-hosted, containerized development environment that comes pre-configured with all the tools you need to run this lab.
 
-Navigate to [this](https://github.com/codespaces/new/mongodb-developer/ai-rag-lab-notebooks?quickstart=1) link. You will be prompted to sign into GitHub if you haven't already. Once signed in, click the **Create new codespace** button to create a new codespace.
+Navigate to [this](https://github.com/codespaces/new/mongodb-developer/genai-devday-notebooks?quickstart=1) link. You will be prompted to sign into GitHub if you haven't already. Once signed in, click the **Create new codespace** button to create a new codespace.
 
 <Screenshot url="https://github.com/codespaces" src="img/screenshots/30-dev-env/2-dev-setup/1-create-codespace.png" alt="Start a codespace" />
 
-Let it run for a few seconds as it prepares your environment. It will clone the repository, prepare the container, and run the installation scripts.
+Let it run for a few seconds as it prepares your environment. It will clone the repository, prepare the container, and run the installation scripts. Once the environment is built, you should see a list of files appear under the Explorer. 
 
-In the left navigation bar of the IDE, click on the file named `notebook_template.ipynb` to open the Jupyter Notebook for the lab.
+In the left navigation bar of the IDE, click on the file named `ai-rag-lab.ipynb` to open the Jupyter Notebook for this lab.
 
 <Screenshot url="https://github.com/codespaces" src="img/screenshots/30-dev-env/2-dev-setup/2-nav-notebook.png" alt="Navigate to the notebook" />
 
 Next, select the Python interpreter by clicking **Select Kernel** at the top right of the IDE.
 
 <Screenshot url="https://github.com/codespaces" src="img/screenshots/30-dev-env/2-dev-setup/3-select-kernel.png" alt="Select kernel" />
 
-In the modal that appears, click **Python environments...** and select the recommended interpreter.
+In the modal that appears, click **Python environments...** and select the interpreter that is marked as **Recommended** or **Global Env**.
 
-<Screenshot url="https://github.com/codespaces" src="img/screenshots/30-dev-env/2-dev-setup/4-python-env-modal.png" alt="Select recommended interpreter" />
+<Screenshot url="https://github.com/codespaces" src="img/screenshots/30-dev-env/2-dev-setup/4-python-env-modal.png" alt="Select Python Environments" />
 
-<Screenshot url="https://github.com/codespaces" src="img/screenshots/30-dev-env/2-dev-setup/5-select-default.png" alt="Select recommended interpreter" />
+<Screenshot url="https://github.com/codespaces" src="img/screenshots/30-dev-env/2-dev-setup/5-select-recommended.png" alt="Select recommended interpreter" />
 
 That's it! You're ready for the lab!
 
@@ -36,16 +40,16 @@ During the lab, we will use GitHub Codespaces. These instructions are here just
 
 If you want to run the notebook locally, follow the steps below:
 
-* Clone the [GitHub repo](https://github.com/mongodb-developer/ai-rag-lab-notebooks.git) for this lab by executing the following command from the terminal:
+* Clone the [GitHub repo](https://github.com/mongodb-developer/genai-devday-notebooks.git) for this lab by executing the following command from the terminal:
 
 ```
-git clone https://github.com/mongodb-developer/ai-rag-lab-notebooks.git
+git clone https://github.com/mongodb-developer/genai-devday-notebooks.git
 ```
 
 * `cd` into the cloned directory:
 
 ```
-cd ai-rag-lab-notebooks
+cd genai-devday-notebooks
 ```
 
 * Create and activate a Python virtual environment:
@@ -62,6 +66,6 @@ pip install notebook
 jupyter notebook
 ```
 
-* In the browser tab that pops up, open the file named `notebook_template.ipynb`.
+* In the browser tab that pops up, open the file named `ai-rag-lab.ipynb`.
 
 <Screenshot url="localhost:8888/tree" src="img/screenshots/30-dev-env/2-dev-setup/6-jupyter-notebook.png" alt="Jupyter Notebook" />