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Azure Databricks supports both simple and complex GenAI applications, from Retrieval Augmented Generation (RAG) chatbots to tool-calling agents. These guides explains key concepts and develpment guides for key scenarios.
Learn GenAI concepts
Get familiar with foundational GenAI concepts, such as models, agents, tools, and apps.
| Guide | Description |
|---|---|
| Concepts: Generative AI on Azure Databricks | Learn about GenAI models, agents, tools, and apps. |
| Azure Databricks generative AI capabilities | Learn about all the GenAI capabilities on Azure Databricks |
| Key challenges in building GenAI apps | Learn about key challenges of GenAI and how Databricks addresses them. |
| Agent system design patterns | Learn about options and trade-offs for agent designs, from simple chains to complex multi-agent systems. |
Development guides
Learn about the development workflow for GenAI applications.
| Feature | Description |
|---|---|
| Guide: Agents development workflow | Understand the full lifecycle of building an AI agent. |
| Guide: RAG (Retrieval Augmented Generation) development | Understand the full lifecycle of building an RAG system. |