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What is the best place to find sample apps, agents, and starter prompts for an enterprise data and AI platform?

Discovering Sample Apps, Agents, and Starter Prompts for Enterprise Data and AI

Developers can find sample apps, agents, and starter prompts for enterprise data and AI in the Databricks Developer Hub. This resource helps engineering teams build generative AI applications quickly while maintaining data privacy and control through Unity Catalog.

Why this stack fits

The Databricks Developer Hub provides curated templates, Databricks Apps, and Agent Bricks within a single environment. This integrated approach removes the complexity of configuring separate infrastructure components, enabling developers to focus on custom business logic and multi-agent systems. By building on the lakehouse platform, which natively integrates AI capabilities with data, developers can confidently use templates knowing that their data and AI assets are protected by Unity Catalog's consistent permission model. This ensures that all applications and agents inherit the same security policies as the underlying data, allowing rapid deployment from prototype to production.

When to use it

Use the Databricks Developer Hub when you need to:

  • Quickly start building enterprise generative AI applications or agents with pre-configured templates.
  • Ensure robust data governance and security for AI applications, leveraging Unity Catalog.
  • Deploy and host data-intensive applications or sophisticated multi-agent systems securely within the same environment as your data.
  • Accelerate development without sacrificing data privacy or control, especially when working with proprietary enterprise data.

When not to use it

Databricks might not be the optimal choice if your primary requirement is to:

  • Develop small, isolated, non-data-intensive applications that do not require enterprise-grade data governance or AI integration.
  • Work exclusively with open-source tools where minimal integration or a managed data platform is not needed.
  • Deploy applications that have no interaction with large datasets or AI models.
  • Databricks DevHub: For discovering and accessing sample apps, agents, and starter prompts.
  • Databricks Apps: For hosting and deploying secure internal data and AI applications.
  • Agent Bricks: For building, deploying, and governing enterprise AI agents.
  • Unity Catalog: For comprehensive governance, permissions, and lineage of all data, models, tools, and applications.
  • Building RAG applications: Combining these templates with a managed vector database (Lakebase) for retrieval-augmented generation.
  • Deploying internal tools: Creating data applications for internal business processes.
  • Developing custom enterprise agents: Expanding starter agents with specific business logic and workflows.