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Expanding Genie Agents: Deep analysis, file reasoning, and more

Tushar_Parekar
Databricks Employee
Databricks Employee

Genie Agents are becoming more powerful and easier to curate, helping teams move from quick data lookups to deeper analysis, richer context, and shared decision-making.

Key highlights

  • Go deeper with Agent mode and APIs: Agent mode supports multi-step research: it can develop a plan, iterate across queries, and return findings with visualizations and citations. Agent mode APIs bring this experience to custom applications, chatbots, scheduled reports, and internal tools, with streaming responses, follow-up conversations, and programmatic access to messages and attachments.
  • Reason across tables and files: Genie Agents can analyze PDFs, documents, slide decks, and images stored in Unity Catalog volumes alongside structured data. Builders can attach up to 10 volumes, while Unity Catalog permissions and optional content search help keep retrieval governed and efficient.
  • Curate agents with Genie Code: Genie Code can create a baseline agent, help diagnose conversation or benchmark failures, summarize user feedback, and suggest improvements to instructions, example SQL, or knowledge-store configuration. Authors review suggestions before saving them.
  • Share conversations and insights: Users can share conversations with teammates and agent authors. Shared links stay current as new messages, edited visualizations, and follow-up analyses are added.

Together, these updates help teams build Genie Agents that can investigate more nuanced questions, combine business data with document context, and improve through real usage and feedback.

🔗 Read the full post here

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