---
name: "Expose data catalog context to AI workflows with DataHub"
slug: "expose-data-catalog-context-to-ai-workflows-with-datahub"
description: "Use DataHub metadata, ownership, schema, and lineage context to ground agent-assisted data discovery and governance workflows."
github_stars: 12050
verification: "security_reviewed"
source: "https://github.com/datahub-project/datahub"
author: "DataHub Project"
publisher_type: "open_source"
category: "Data Extraction & Transformation"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "datahub-project/datahub"
  github_stars: 12050
---

# Expose data catalog context to AI workflows with DataHub

Use DataHub metadata, ownership, schema, and lineage context to ground agent-assisted data discovery and governance workflows.

## Prerequisites

DataHub, DataHub API or CLI, catalog metadata access

## Installation

Use the upstream install or setup path that matches your environment:
- git clone https://github.com/datahub-project/analytics-agent.git
- brew install datahub-project/tap/datahub
- pip install acryl-datahub
- **Note:** For pip, you can also use uv or other Python package managers.

Requirements and caveats from upstream:
- <a href="https://hub.docker.com/r/linkedin/datahub-gms">
- <img src="https://img.shields.io/docker/pulls/linkedin/datahub-gms.svg" alt="Docker Pulls" />
- datahub docker quickstart

Basic usage or getting-started notes:
- <a href="https://docs.datahub.com/docs/quickstart"><b>Quick Start</b></a> •
- **Quick start:**
- See the [Quick Start](#-quick-start-60-seconds) section below for full instructions. The PyPI package is [acryl-datahub](https://pypi.org/project/acryl-datahub/); the Homebrew tap is [datahub-project/homebrew-tap](htt...

- Source: https://github.com/datahub-project/datahub
- Extracted from upstream docs: https://raw.githubusercontent.com/datahub-project/datahub/HEAD/README.md

## Documentation

- https://github.com/datahub-project/datahub

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/expose-data-catalog-context-to-ai-workflows-with-datahub/)