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DataLex Docs

DataLex OSS is an AI-first adoption workflow for existing dbt projects.

The product flow is:

Connect dbt repo -> AI Setup -> Readiness -> Generate -> Review -> Contracts -> Publish

DataLex keeps dbt as the physical source of truth and adds a Git-versioned business layer under DataLex/.

Start Here

  1. Getting Started
  2. Install and run DataLex
  3. Connect an existing dbt repo
  4. Configure AI
  5. Generate, review, and certify
  6. Publish the manifest

What DataLex Adds

  • AI-generated proposal packs from dbt evidence
  • business domains and ownership
  • conceptual, logical, and physical diagrams
  • DataLex business contracts
  • metric contracts
  • glossary terms
  • dbt contract suggestions
  • datalex-manifest.json for certified downstream use

What DataLex Does Not Replace

  • dbt SQL
  • dbt model YAML
  • dbt semantic metrics
  • dbt tests
  • dbt exposures
  • enforced dbt physical contracts

Main References

Optional DQL Integration

DQL is not required for DataLex OSS. DataLex publishes a certified manifest. Cloud can combine DataLex and DQL later. OSS projects can opt into DQL readiness explicitly through datalex.yaml.