Kai is Keboola’s embedded AI assistant—a context-aware data engineering co-pilot that understands your project’s transformations, flows, table schemas, and jobs.
Analytics & Exploration — Query databases, explore schemas, calculate metrics, and analyze trends.
Integration Setup — Configure extractors, destinations, and custom components. Manage authentication and packages.
Coding — Write and optimize SQL/Python transformations. Convert between languages.
Troubleshooting — Debug job failures, resolve configuration errors, and investigate data quality issues.
Documentation — Generate project documentation, update table descriptions, and create onboarding materials.
Data Modeling — Build analytical frameworks, dimensional models, and complex data structures.
Context-aware — Unlike generic AI tools, Kai reads your actual job logs, configurations, and data structures to provide specific solutions.
No setup required — Built into Keboola, already authenticated, understands your current location.
Data engineering focus — Deep knowledge of Keboola components, transformations, and best practices.
| Feature | Kai | MCP Server |
|---|---|---|
| Best for | Browser workflows, team collaboration | IDE integration, local development |
| Setup | None | Requires external tool configuration |
| Audit trail | Full organizational visibility | Local only |
Kai is now in Public Beta and available to all users. Look for the KAI button in your project’s navigation bar.
Use the thumbs up/down buttons in the chat to provide feedback, or contact Keboola Support for access requests and technical issues.
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