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databricks-agent-bricks

Create and manage Databricks Agent Bricks for RAG-based Q&A and multi-agent orchestration.

4|2|Updated Feb 16, 2026

Search Tags:#rag #ai agents #orchestration #conversational ai #databricks #knowledge assistant #supervisor agent

One-click install

npx skills add https://github.com/alessandro9110/Speech-To-Text-With-Databricks --skill databricks-agent-bricks-alessandro9110

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: databricks-agent-bricks
Source: https://github.com/alessandro9110/Speech-To-Text-With-Databricks/tree/main/.claude/skills/databricks-agent-bricks
Command: npx skills add https://github.com/alessandro9110/Speech-To-Text-With-Databricks --skill databricks-agent-bricks-alessandro9110

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation and management of powerful AI agents within Databricks, enabling users to build conversational interfaces and automate complex tasks without deep AI expertise.

Core Features & Use Cases

Knowledge Assistants (KA): Create document-based Q&A systems that leverage Retrieval-Augmented Generation (RAG) to answer questions from indexed documents stored in Unity Catalog Volumes. Ideal for building chatbots that can query internal documentation, policies, or reports.
Supervisor Agents (MAS): Orchestrate multiple specialized agents (KAs, Genie Spaces, model serving endpoints, UC functions, external MCP servers) into a single, unified conversational interface. This allows for complex workflows where user queries are intelligently routed to the most appropriate agent.
Genie Spaces Integration: Seamlessly integrate Genie Spaces for natural language to SQL queries, allowing agents to interact with and explore data in Unity Catalog.
Use Case: An enterprise support system where a Supervisor Agent routes user queries to a Knowledge Assistant for policy questions, a Genie Space for usage analytics, and an external system for ticket creation.

Quick Start

Use the databricks-agent-bricks skill to create a knowledge assistant named 'HR Policy Assistant' using documents from '/Volumes/my_catalog/my_schema/raw_data/hr_docs'.

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 chatbot on Databricks?▼

Build a RAG chatbot on Databricks by creating a Knowledge Assistant that queries indexed documents stored in Unity Catalog Volumes, enabling conversational Q&A directly over your internal data.

How do I orchestrate multiple AI agents on Databricks?▼

Orchestrate multiple AI agents on Databricks using a Supervisor Agent to route user queries across Knowledge Assistants, Genie Spaces, model serving endpoints, and external MCP servers.

Can I use Genie Spaces for natural language to SQL queries in my AI agent?▼

Yes, Genie Spaces integrate with your AI agents to perform natural language to SQL queries, allowing conversational interfaces to explore and interact with data in Unity Catalog.

What is a Supervisor Agent for multi-agent orchestration?▼

A Supervisor Agent orchestrates multiple specialized agents into a unified conversational interface, intelligently routing user queries to the most appropriate Knowledge Assistant or connected tool.

Do I need Unity Catalog Volumes to create a Knowledge Assistant?▼

Yes, Knowledge Assistants use documents from Unity Catalog Volumes as the source for RAG-based Q&A, requiring your files to be stored there before creation.