Introduction to generative AI apps on Databricks
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.
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- Concepts: Generative AI on Databricks
- Learn about GenAI models, agents, tools, and apps.
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- Databricks generative AI capabilities
- Learn about all the GenAI capabilities on Databricks
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- Key challenges in building GenAI apps
- Learn about key challenges of GenAI and how Databricks addresses them.
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- 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.
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- Guide: Agents development workflow
- Understand the full lifecycle of building an AI agent.
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- Guide: RAG (Retrieval Augmented Generation) development
- Understand the full lifecycle of building an RAG system.