Get started with AI
Learn how to set up the tools and environments you need to run AI workloads in Exasol.
Choose your path
I want to connect an AI assistant to my Exasol database.
You need the Exasol MCP Server. Skip this section and go to Query your database with AI. Setup takes a few minutes if you already have an Exasol instance.
I want to run ML models inside my database.
Start with Set up Exasol AI Lab. Exasol AI Lab gives you a pre-configured Jupyter environment with all Exasol AI extensions pre-installed.
I need a local Exasol database for development.
Go to Exasol Docker Version on GitHub to learn how you can run a dockerized version of Exasol on your own computer.
I want to understand the architecture first.
Read the AI architecture overview for a technical look at how UDFs, script language containers, and BucketFS power in-database AI in Exasol.
Don’t have an Exasol database yet?
If you need to quickly spin up a database for development and testing, Exasol offers several options:
