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ShenXu
by • New Contributor II
  • 400 Views
  • 2 replies
  • 2 kudos

Beyond Chat History: Designing Portable Memory and Decision Boundaries for Enterprise AI Agents

Persistent Memory Is Only the BeginningAs AI agents move from isolated conversations toward persistent workflows, memory is becoming part of enterprise AI infrastructure.An agent that remembers previous interactions can reduce repetitive instructions...

  • 400 Views
  • 2 replies
  • 2 kudos
Latest Reply
gnakan
Databricks MVP
  • 2 kudos

@ShenXu : I found this really interesting so did a bit of experimentation. My lab notes and a test notebook are available at https://medium.com/lab-notes/unity-catalog-functions-kept-ai-agents-from-acting-on-stale-memory-7d63e15f992b

  • 2 kudos
1 More Replies
KeerthiItigimat
by • New Contributor III
  • 591 Views
  • 4 replies
  • 3 kudos

Databricks Data Quality - Agent Proposes, DQX Disposes

Every serious data platform grows a dead-letter table, and it always becomes a graveyard. Here is how we turned one into a self-healing queue — without letting a language model anywhere near the warehouse.Every data platform that takes quality seriou...

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  • 591 Views
  • 4 replies
  • 3 kudos
Latest Reply
ivanvyd
Contributor
  • 3 kudos

Thanks for sharing, @KeerthiItigimat, what a great breakdown. How do you handle rules changing while rows are waiting in quarantine? Does remediation keep the original checks, use the latest approved rules, or run both?

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3 More Replies
KeerthiItigimat
by • New Contributor III
  • 412 Views
  • 0 replies
  • 0 kudos

DQX - Everything The Docs Don’t Say Yet

DQX Studio already has its own documentation for the rule editor, the approval workflow, the scheduler. This is what running it against real pipelines, real approvers, and a growing quarantine table made us add on top of it — and around it. It'll be ...

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  • 412 Views
  • 0 replies
  • 0 kudos
KeerthiItigimat
by • New Contributor III
  • 207 Views
  • 0 replies
  • 0 kudos

Agent Proposes, DQX Disposes

Every serious data platform grows a dead-letter table, and it always becomes a graveyard. Here is how we turned one into a self-healing queue — without letting a language model anywhere near the warehouse.Every data platform that takes quality seriou...

KeerthiItigimat_0-1789792223114.png KeerthiItigimat_1-1789792512733.png KeerthiItigimat_2-1789792689817.png KeerthiItigimat_3-1789793079351.png
  • 207 Views
  • 0 replies
  • 0 kudos
AbhaySingh
by • Databricks Employee
  • 3603 Views
  • 0 replies
  • 1 kudos

The Agile Path to Autonomous Agents

I read about a team demo about their shiny new "autonomous AI agent” leadership. It queried databases, generated reports, sent Slack notifications—all hands-free. Impressive stuff. Two weeks later? $12K in API costs, staging data accidentally pushed ...

  • 3603 Views
  • 0 replies
  • 1 kudos
vinaygazula
by • New Contributor II
  • 1824 Views
  • 1 replies
  • 1 kudos

Building an AgenticLakehouse: Interacting with Databricks Workspace via LangGraph and MCP

This project, AgenticLakehouse, explores the cutting edge of "Agentic Data Analytics." I didn't just want a chatbot; I wanted a "living" interface for the Lakehouse. The result is a Multi-Agent System that intelligently orchestrates tasks, from query...

  • 1824 Views
  • 1 replies
  • 1 kudos
Latest Reply
Advika
Community Manager
  • 1 kudos

Looks great, solid LangGraph + MCP setup on Databricks Apps. Thanks for sharing, @vinaygazula!

  • 1 kudos
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