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AI agents are available as an add-on for all plans. View pricing
AI agents automatically select the most relevant data models and metrics to answer your questions, build and execute queries with appropriate dimensions, metrics, and filters, and present results in the most insightful format.

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What you’ll learn

This guide covers everything you need to know about AI agents in Lightdash:

Getting started

Using AI agents

Agent memory

Best practices

Evaluations

Data access control

Verified answers

Self-improvement (Beta)


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Key features

  • Natural language queries - Ask questions in plain English and get instant answers
  • Automatic visualizations - Get charts, tables, and dashboards generated based on your questions
  • Slack integration - Collaborate with your team directly in Slack channels
  • Memory and learning - Agents remember corrections and improve over time
  • Access control - Fine-grained control over data access and permissions
  • Multiple agents - Create specialized agents for different teams or use cases
  • Evaluations - Create test suites to validate your agent’s answers and prevent regressions.
  • Conversations - Monitor all agent interactions in one place, review feedback, and build evaluation sets directly from real threads.
  • Self-improvement (Beta)- Agents can propose changes to your semantic layer