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ThomazRossito
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databricks-agent-bricks

Manage Databricks conversational AI bricks for document Q&A, SQL exploration, and multi-agent orchestration.

31|18|Updated Apr 4, 2026
Search Tags:#rag#mcp#databricks#unity-catalog#knowledge-assistant#genie-space#supervisor-agent
One-click install
npx skills add https://github.com/ThomazRossito/data-agents --skill databricks-agent-bricks-thomazrossito
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: databricks-agent-bricks
Source: https://github.com/ThomazRossito/data-agents/tree/main/skills/databricks/databricks-agent-bricks
Command: npx skills add https://github.com/ThomazRossito/data-agents --skill databricks-agent-bricks-thomazrossito

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Databricks Agent Bricks simplify the creation and management of conversational AI components in Databricks by providing prescriptive workflows for document Q&A, natural-language-to-SQL exploration, and multi-agent orchestration.

Core Features & Use Cases

  • Knowledge Assistants (KA): Index documents in Unity Catalog volumes and provide retrieval-augmented Q&A for policies, manuals, and reports.
  • Genie Spaces: Expose curated SQL exploration spaces for natural-language analytics and data discovery.
  • Supervisor Agents (MAS): Route user queries across KAs, Genie spaces, model endpoints, Unity Catalog functions, and external MCP servers to implement end-to-end workflows such as support desks, billing automation, and operational tooling.

Quick Start

Create a Knowledge Assistant named HR Policy Assistant backed by /Volumes/my_catalog/hr_docs using manage_ka create_or_update and provide a clear description and instructions.

Frequently Asked Questions about databricks-agent-bricks

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a RAG knowledge assistant in Databricks using Unity Catalog?▼

To build a RAG knowledge assistant in Databricks, index documents stored in Unity Catalog volumes and use the manage_ka create_or_update workflow to provide retrieval-augmented Q&A for policies, manuals, and reports.

Can I route natural language SQL queries to Genie Spaces using a supervisor agent?▼

Yes, Supervisor Agents route user queries across Genie Spaces for natural-language SQL exploration, model endpoints, and external MCP servers to implement end-to-end multi-agent orchestration workflows.

What permissions do I need to connect Databricks conversational AI to external MCP servers?▼

Connecting to external MCP servers requires appropriate service principal permissions, specifically EXECUTE on Unity Catalog functions and USE CONNECTION for the underlying Databricks connections.

Does Databricks Agent Bricks support multi-agent orchestration for operational tooling?▼

Yes, Supervisor Agents support multi-agent orchestration by routing queries across Knowledge Assistants, Genie Spaces, endpoints, and MCP servers to implement operational tooling, support desks, and billing automation workflows.

How do I set up natural-language SQL exploration in Databricks?▼

Set up natural-language SQL exploration by exposing curated Genie Spaces that allow users to perform analytics and data discovery directly through conversational natural-language queries.

What is required to create a Knowledge Assistant backed by Unity Catalog volumes?▼

Creating a Knowledge Assistant backed by Unity Catalog volumes requires deployed model serving endpoints, appropriate service principal permissions, and a clear description with instructions for the assistant.

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