Exasol AI Lab

The Exasol AI Lab is a pre-configured container designed to empower data scientists to build AI & ML workflows on top of their Exasol database. It streamlines common data science and AI tasks, including data loading, preparation, exploration, model training, and deployment. Whether you’re a seasoned practitioner or just getting started, AI Lab is your one-stop-shop for AI and machine learning on Exasol.

Key Features:

• Jupyter Notebook Environment: The heart of the AI Lab is a robust Jupyter Notebook environment. It is where you will work on your AI and Data Science projects.
• Exasol Integration: Leverage Exasol’s power for your AI and machine learning use cases. The AI Lab includes essential Exasol packages, extensions, and configuration tasks.
• Example Notebooks: Jumpstart your work with ready-to-use example notebooks. Explore classic machine learning scenarios (think scikit-learn), seamlessly integrate Exasol with AWS SageMaker, and tap into Hugging Face models directly within Exasol.
• Generative AI Support: AI Lab is equipped with tools and libraries to help you explore generative AI techniques, including transformer models and large language models (LLMs).
• Traditional ML and Data Science: AI Lab supports traditional machine learning and data science workflows, making it a versatile tool for various projects.

Getting Started

The fastest way to get started with AI Lab is to use its Docker Edition via Docker.

Install AI Lab via Docker

Once you have Docker installed, you can pull the latest AI Lab image from Docker Hub and run it as a container using the following commands:

docker run --publish 0.0.0.0:49494:49494 exasol/ai-lab

For additional options, more details, and limitations please see the dedicated instructions for the AI Lab's Docker Edition.

Access the Web Interface

You can now access AI Lab's web interface by navigating to http://localhost:49494 in your web browser. If necessary, replace <host> with the IP address or hostname of the machine where the Docker container is running.

You will be asked to enter a password. The default password is ailab. The User Guide provides instructions on how to change the default password.

Configure AI Lab to Connect to Your Exasol Database

You can use AI Lab with an existing Exasol database OR you can use AI Lab to spin up a standalone Exasol database in another Docker container.

Once you have opened your browser, navigated to the AI Lab interface and logged in, open the main_config.ipynb notebook and follow all of the steps to configure a connection to Exasol.

Run your first Workflow

Now that you have AI Lab up and running, you can start exploring the various notebooks and tutorials! We recommend starting with the first_steps.ipynb notebook, which provides a brief introduction to using AI Lab.

Next Steps

AI Lab offers a comprehensive set of features as well as alternative deployment options. When you are ready to dive deeper, check out the User Guide for more detailed instructions.

Contributing

If you want to contribute to the AI Lab, please see the Developer Guide.