> The complete documentation index is at [llms.txt](/llms.txt).

Bauplan is a Git-for-data lakehouse that runs your Python and SQL pipelines directly on Apache Iceberg tables in your own object storage, with no servers or clusters to manage.

Learn how Bauplan fits into your architecture [here](/overview/).

[AI Agents](/tutorial/connect-your-agent): Use AI Agents to build pipelines, explore data, and manage your lakehouse with MCP Server and Skills.

## Get Started

- [Install Bauplan](/tutorial/installation): CLI, SDK, and your API key
- [Quick start](/tutorial/quick-start): Your first branch and run
- [Examples](https://github.com/BauplanLabs/bauplan/tree/main/examples): Learn by example
- [Reference](/reference/bauplan): CLI and SDK

## Go Deeper

- [Git for Data](/concepts/git-for-data): Branch, commit, roll back
- [Core Concepts](/concepts/projects): Models, tables, pipelines
- [Common Workflows](/common-scenarios/): Real-world patterns
- [Integrations](/integrations/): Connect your stack

## Watch

- [Git-for-Data and AI Agents on Production Data](https://www.youtube.com/watch?v=1x8BTeJrOKU) (5:33): Import from S3 on a branch, merge to main, and roll back a bad write.
- [Getting started with the Bauplan CLI and SDK](https://www.youtube.com/watch?v=Nd5glmOz9QA) (3:45): Install, set your API key, and work with your first data branch.
- [Platform primitives: Python, Iceberg, and Git-for-Data](https://www.youtube.com/watch?v=Di2AkSmitTc) (6:25): Write a Python model, query Iceberg tables, and version a pipeline run.

More walkthroughs and webinars on the [Bauplan YouTube channel](https://www.youtube.com/@bauplan_labs).