databricks-agent-bricks

What problem does it solve?

This Skill simplifies the creation and management of AI components on Databricks, enabling users to build sophisticated conversational AI applications without deep technical 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 company policies, manuals, or reports.
• Supervisor Agents (MAS): Orchestrate multiple specialized AI agents (including KAs, Genie Spaces, and model serving endpoints) to route user queries intelligently. This allows for a unified conversational interface to various data sources and AI capabilities.
• Use Case: A customer support team can use this Skill to deploy a Supervisor Agent that routes user inquiries 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'.