Scholarlink

In the previous chapters, we learned about the new Agent Bricks offerings. Since 2023, with the rise of GenAI and LLMs, Databricks has integrated them into its platform. The Databricks data intelligence platform (see Figure 6-1) combines the lakehouse platform and AI/LLMs to add the “data intelligence” engine that understands the uniqueness of your data and uses that understanding across everything in the platform. However, tools are increasingly designed for AI Agents to work alongside humans. We can no longer maintain a closed-box platform; instead, it must become a hub for hosting AI Agents. In this chapter, we will discuss how to integrate AI components within the Databricks Data Intelligence Platform into our AI apps.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Databricks As an Agentic Platform: Orchestration, Context, and Control

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

查看全文
  • Jason Yip,
  • Nikhil Gupta,
  • Marcin Wojtyczka

摘要

In the previous chapters, we learned about the new Agent Bricks offerings. Since 2023, with the rise of GenAI and LLMs, Databricks has integrated them into its platform. The Databricks data intelligence platform (see Figure 6-1) combines the lakehouse platform and AI/LLMs to add the “data intelligence” engine that understands the uniqueness of your data and uses that understanding across everything in the platform. However, tools are increasingly designed for AI Agents to work alongside humans. We can no longer maintain a closed-box platform; instead, it must become a hub for hosting AI Agents. In this chapter, we will discuss how to integrate AI components within the Databricks Data Intelligence Platform into our AI apps.