> For the complete documentation index, see [llms.txt](https://docs.opendatadiscovery.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.opendatadiscovery.org/introduction.md).

# Introduction

- [Overview](https://docs.opendatadiscovery.org/introduction/readme.md): ODD is an open-source, community-driven data discovery platform — ML-first, end-to-end microservices lineage, flexible data quality integration, and catalogs ML experiment metadata and lineage.
- [Main Concepts](https://docs.opendatadiscovery.org/introduction/main-concepts.md): Core vocabulary and mental model for the Open Data Discovery project — what the pieces are, how they fit together, and where to dive deeper.
- [Architecture](https://docs.opendatadiscovery.org/introduction/architecture.md): The structural mental model of an Open Data Discovery deployment — five-stage data flow, the components that run where, and the architectural concerns that cross every component.