Dais 2025 Genai Hackathon
Description
This README provides a quick overview of how to get started with your Databricks workspace and how get get access to the data for the Data for Good challenges.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
DAIS 2025 GenAI Hackathon
This README provides a quick overview of how to get started with your Databricks workspace and how get get access to the data for the Data for Good challenges.
Here are some links to additional guides and resources to help you get started:
- Agent Library Integrations: This notebook provides a quick overview of how to integrate models from Databricks Model Serving with the popular LlamaIndex and LangGraph libraries, and addresses some common issues you may encounter.
- Agent Development with Databricks: This notebook shows some of the tools, such as Tracing and Agent Evaluations, that help you build agents on Databricks.
- Getting Started with Nimble's MCP Server: This notebook shows how to build and run simple agents that can use the tools accessible via Nimble's remote MCP server using LangChain and LlamaIndex.
- Getting Started with Data for Good Datasets: This notebook provides a quick overview of how to get started with the datasets provided by our Data partners and start using them with AI tools.
1. Set Up Your Workspace and Get Data
Setting up your Workspace
Use the provided link to get your Databricks trial account. This will be provided on the day of the hackathon.
After clicking the link, click "Continue with Express Setup."

Provide your email to create an account. We recommend using a work email address if possible. Then complete the rest of the prompts to set up your workspace.
For more details, see the [Databricks documentation](https://docs.databricks.com/aws/en/getting-started/express-setup).
Getting the Data
Our *Data for Good* partners are providing several datasets for you to use in this hackathon. To access the d
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