u/Youssef_Mrini

Genie Code is getting a new feature 🥳
Good news you can attach a document to Genie Code when you need it as temporary context for the current conversation.

What's a good use case?

🔴 Explain or summarize a document: “Summarize this PDF and list the key decisions.”

🔴 Extract information from PDFs, scans, or images.

🔴 Generate code based on a specification: attach a requirements document and ask Genie Code to create Python or SQL.

🔴 Analyze data files such as CSV, Excel, JSON, or JSONL.

🔴 Convert documentation into code, tests, or a notebook.

🔴 Interpret diagrams, charts, architecture sketches, or screenshots.

🔴 Migrate Tableau or Power BI files into AI/BI dashboards using /importBI.

What are the supported file types ?

.pdf, .csv, .xlsx, .xls, .json, .jsonl, and common image formats.

Are you getting ready for Genie Ontology?

You can leverage PAGES that sit in the Discover page and are organized by domain and subdomain.

Each domain and subdomain has its own set of Pages and users with access to a domain can create and govern them.

🛑 But first, what do you mean by Pages?

Pages are part of UC semantics; it's the business context that you define and govern explicitly, forming the human-modeled layer of the Genie Ontology.

🛑 Why is it useful?

When Genie One answers a question about a concept you've defined in a Page, it prioritizes the Page's definition over context it infers automatically, and cites the Page so users can confirm the source.

🛑 Any tips to build pages?

You can create Pages from those documents instead of writing each one by hand. Genie Code reads the documents you attach, extracts the terms it finds, and returns a set of proposed Pages. You review and edit the proposed Pages before any of them are created.

🛑 Is it a collaborative environment?

You can Comment: Ask a follow-up question or flag context for the owner.

You can Suggest edits: Suggest changes to a published Page's body.

Each time you click Suggestion, edit the body, and click Save, your edits are grouped into a single batch.

The owner or curator accepts or rejects the entire batch at once. Accepting a batch clears all other pending batches on the Page, including those from other users, and this can't be undone.

You can React: Upvote or downvote a Page to signal whether it answered your question.

The owner or curator can also edit a published Page's content directly, bypassing the suggestion workflow.

🛑What's next?

Create domains, Subdomains, leverage UC metric views, and connect your external tools to Databricks

Unity AI Gateway is the Databricks governance solution for AI and is part of Unity Catalog.

You can:

⚡ Control which AI services teams can use.

⚡ Route and manage AI traffic across providers.

⚡ Govern MCP servers to control access and costs.

⚡ Monitor usage, cost, access, and lineage from one place.

FYI: Some capabilities, including service policies and agent services, remain in Beta.

Unity AI Gateway Documentation: https://docs.databricks.com/aws/en/ai-gateway

Blog post : https://www.databricks.com/blog/unity-ai-gateway-generally-available

AI Capabilities & Memory

• Genie Code Mentions: Type u/Genie Code in a Notebook comment to get help directly within the comment thread.
• Copilot Integration: Connect Genie directly to Microsoft Copilot Cowork. 📖Documentation
• Memory (Beta): Genie One can save specified details (like preferences and workflows) to apply in future conversations. 📖Documentation
• Recall & Reuse Context: Search past conversations and bring that context into your current chat. 📖Documentation

Document Features

• Document Links: Documents supports embedded hyperlinks.📖Documentation
• Edit Timestamps: Displays the exact date and time documents were last edited. 📖Documentation
• Document Citations: Documents display citations linking content directly back to source data.
• Version History: Review earlier versions of documents through built-in history tracking.
• Soft Tabs: Open document links in soft tabs without navigating away from the current document.

Integrations & MCP Apps

• Genie One MCP App (Beta): Adds UI interactions from third-party agents, including interactive visualizations and Genie Ontology citations. 📖Documentation
• GitHub MCP (Beta): GitHub MCP connection for Genie One is available📖 Documentation.

Scheduled Tasks

• Shared Task Overview: Access a dedicated modal and listing page to view scheduled tasks shared with you by others.
• Task Mentions: u/mention scheduled tasks directly inside Genie One.
• On-Demand Execution: Select Run now while authoring a scheduled task to run it immediately.

Platform, Data & UI Enhancements

• Ontology Snippets (Public Preview): Support added for ontology snippets (contact your Databricks account team to enroll). 📖Documentation
• Partially Supported Datasets: Ask Genie now queries valid datasets rather than failing completely when a dashboard contains unsupported SQL expressions.
• Front-end Private Link: Configure account-level front-end Private Links by turning on the Custom URLs and Account preview.
• Certified Visualizations: SQL charts and visualizations inserted by Genie One are now read-only certified visuals.
• Inline Conversation Renaming: Edit conversation titles inline by clicking the title in the chat header.
• Mobile Workspace Sign-in: Enter your workspace URL manually in the Genie mobile app if automatic discovery fails. 📖Documentation
• Expanded PDF Limit: The maximum character limit per uploaded PDF increased from 4,000 to 15,000 characters. 📖Documentation

• Prompts and responses initiated by Genie Chat are visible in Genie Agents monitoring when the sharing is enabled.
• You can upload local Excel and CSV files to an Agent Mode chat for ad-hoc analysis. 📖 Documentation
• You can retrieve visualization results from Genie Agents using the API. 📖Documentation
• You can save a Genie One thread as a Genie Agent so you can open it in your workspace to fine-tune its context, instructions and data assets.

• You can share individual Genie conversations to collaborate with teammates or allow agent managers to review your results.
• Genie Agents can analyze files stored in Unity Catalog volumes such as PDFs, slide decks, and images. 📖Documentation
• Agent mode APIs for Genie Agents are available. 📖Documentation
• You can download visualization results through the Genie Conversation API on Private Link workspaces in supported regions.
• Databricks Genie App for Teams: 📖Documentation
• Databricks Genie App for Slack: 📖Documentation

Read the newsletter: June 2026

Newsletter: https://open.substack.com/pub/nextgenlakehouse/p/whats-new-in-databricks-june-2026?r=5byoi7&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

July 2026 is coming soon

🔴 Genie Cost tracking update🔴

You can now track GENIE_FREE_USAGE SKU (only starts appearing on July 20, 2026)

FYI: Free usage consumed before this date is not visible in the system tables.

All free Genie usage appears under sku_name = 'GENIE_FREE_USAGE' it does include usage under the free allowance( 150 DBUs) which resets on the first of each month.

Until 🔴 July 31, 2026🔴 , all Genie One and Genie Agents usage is free, and captured under the GENIE_FREE_USAGE SKU.

To distinguish between products within the free usage SKU you can filter on usage_metadata.genie.surface:

GENIE_CODE: Genie Code free usage

GENIE_ONE: Genie One

GENIE_AGENTS: Genie Agents

This free usage SKU tracks consumption but deliberately has no list price entry in the system tables. Because it is completely free, joining the usage and price tables will naturally return no match for this item.

Google’s Gemini 3.6 Flash is already available on Databricks. Yes that's true🎉

Always remember the 4C:

🙏Control: Governance over the multi modal multi agent estate. The anchor is Unity AI Gateway and Omnigent for agent orchestration.

🙏Choice: You get to choose between the different models available on the platform.

🙏Context: The anchor is Genie Ontology the self improving knowledge graph that automatically extracts business meaning from the assets.

🙏Cost: The anchor is Unity AI Gateway which adds hard spend caps to stop runaway agent costs. Omnigent's cost control plays the same role at the coding agent level.

The scale of what was accomplished over those few days was historic breaking records across the board:

🛑 100K Total Attendees: A powerhouse community of data minds, including 32,000 innovators packing the venue in person, with the rest of the global community tuning in remotely from every time zone.

🛑174+ Countries Represented: A truly global phenomenon, uniting diverse perspectives and top talent from every corner of the world.

🛑240+ Exhibitors: A large ecosystem showcase featuring the industry-leading partners and technologies shaping tomorrow’s data landscape.

The summit may be over but the momentum is just getting started. The connections made, skills learned and breakthroughs shared have officially set the trajectory for the next era of data and AI!

Read the full newsletter : Part 1

able update triggers just got a lot more interesting. 🚀

Until now Lakeflow table update triggers only fired on local tables in your own workspace. As of the new Beta they also work on:

→ OpenSharing tables (data shared into your workspace via Delta Sharing)

→ System tables (system.billing.usage, audit logs, lineage…)

Why is that a big deal technically ?

You can now run a job the moment shared data updates across workspace, regional & cloud boundaries. The trigger watches the shared table and fires when new data actually arrives.

You're turning Delta Sharing from a passive data-access layer into an active, event-driven integration layer.

A Lot of benefits

1-Less orchestration

2-lower latency

3-no idle scheduled runs.

Want to play with it? Docs + setup requirements here

https://docs.databricks.com/aws/en/jobs/trigger-table-update#trigger-on-ds-and-sys