Create a Notebook for Building Your RAG Application

You can build and test a RAG pipeline in a notebook. When you’ve tested and validated your pipeline you can store it so that non-coders can interact with it in GenAI Studio.

Prerequisites #

• Begin by installing GenAI Studio following our cluster deployment guides.

Create a New Notebook #

• Sign in to GenAI Studio.
• Go to Machine Learning Development Environment by selecting the MLDE tab.
• Select the Launch JupyterLab button.
• Provide inputs or selections for all of the following:
  • Workspace: The workspace matching your project.
  • Template: Select lore_notebook.
  • Name: Give a descriptive name for your notebook, for example, my-first-pipeline.
  • Resource Pool: Select the resource pool matching your project.
  • Slots: Select the number of slots you want to use.
• Select Launch.
• Create your notebook.

Open an Active Notebook #

• Sign in to GenAI Studio.
• Go to Machine Learning Development Environment by selecting the MLDE tab.
• Navigate to Workspaces.
• Select the workspace matching your project.
• Select the Tasks tab.
• Select the Name of the notebook you want to open.

The notebook will open in a new tab.

Navigating to and from the Cluster

If you’re starting from the Machine Learning Development Environment cluster home page, selecting GenAI will open the Generative AI Studio home page in your browser. Similarly, from your project home page, selecting MLDE will open Machine Learning Development Environment in your browser.