Genie Agents
AI agent · Data & analytics agent · Data & analytics by Databricks
The data-smart AI coworker for conversational analytics.
Genie Agents are conversational AI tools that allow business users to explore governed data and generate insights using natural language. Integrated with Unity Catalog, they provide a secure, self-service way to democratize business intelligence without per-seat licensing fees.
Agent specs
- What it does
- Genie Agents provide conversational business intelligence, allowing users to query governed enterprise data using natural language to uncover insights and answer business questions.
- For
- Business teams and data analysts seeking self-service conversational analytics.
- Actions
- engage with data through natural language, answer questions about business data, uncover insights in seconds
- Integrations
- Unity Catalog, Databricks Data + AI Platform, Databricks Lakehouse
- Channels
- API
- Autonomy
- Assists a person
- Availability
- Generally available as part of Databricks AI/BI on AWS, Azure, and Google Cloud.
- Languages
- English
Category: AI Agents
- Channels
- In-app (Genie One), API
- Integrations
- Unity Catalog, Databricks Apps, Databricks SQL, MLflow
- Data sources
- Databricks Lakehouse, Unity Catalog governed tables
- Deployment
- Cloud (AWS, Azure, Google Cloud)
- Languages
- English (Natural Language)
- Platform
- Databricks Data + AI Platform
- Conversational analytics using natural language
- Powered by Genie Ontology for enterprise context
- Natively integrated with Unity Catalog governance
- No per-seat or per-license fees for AI/BI features
- Continuous learning from Databricks platform signals
Overview
Genie Agents are conversational AI agents within the Databricks AI/BI suite designed to democratize data insights for business teams. By allowing users to engage with governed data through natural language, Genie eliminates the need for non-technical users to write SQL to answer specific business questions. The agent is built natively on the Databricks Data + AI Platform and leverages the Genie Ontology to provide trusted, permission-aware understanding of an organization's unique data. It operates within the Unity Catalog governance framework, ensuring that all insights remain compliant with enterprise security policies. Genie continuously learns from user interactions and platform signals to improve its accuracy over time, making it a "data-smart" partner for self-service analytics.
Data Exploration and Insights
- Conversational Analytics: Users can engage with their data through natural language to perform specific business use cases without writing SQL.
- Continuous Learning: The agent captures signals from across the Databricks estate to continuously learn and improve its ability to answer questions accurately.
- Genie Ontology Context: Genie provides trusted, permission-aware understanding of business data by combining governed and learned business knowledge.
- Governed Data Access: The agent operates directly on governed data within Unity Catalog, keeping metrics, lineage, and permissions aligned end-to-end.
Interface and Integration
- Unified Exploration Hub: Genie One provides a single place for business teams to explore AI/BI Dashboards and talk with Genie Agents.
- App Integration: The agent can be integrated with custom-built applications created using Databricks Apps.
- AI-Assisted Dashboarding: Genie supports natural language dashboard creation, allowing users to build visualizations in seconds.
- Genie API Access: The Genie API allows for the integration of conversational analytics into external business applications.
What it does
- Answering business questions in natural language
- Generating data visualizations and dashboards
- Retrieving governed data insights
- Automating conversational analytics for specific use cases
Use cases
- Business analysts use Genie to ask follow-up questions on data trends and uncover answers in seconds without writing SQL.
- Frontline banking teams use Genie to improve client outreach quality by getting governed, auditable answers from financial data.
- Data teams integrate Genie into custom-built applications via API to provide conversational interfaces for end users.
- Executives use Genie to monitor business performance through AI-assisted dashboards and natural language reports.
Specifications
- Channels
- In-app (Genie One), API
- Integrations
- Unity Catalog, Databricks Apps, Databricks SQL, MLflow
- Data sources
- Databricks Lakehouse, Unity Catalog governed tables
- Human control
- Users can ask follow-up questions and perform self-service exploration; experts provide feedback to improve accuracy
- Deployment
- Cloud (AWS, Azure, Google Cloud)
- Languages
- English (Natural Language)
- Platform
- Databricks Data + AI Platform
- Governance Layer
- Unity Catalog
- Context Layer
- Genie Ontology
- Interface
- Genie One, Genie API
- Cloud Availability
- AWS, Azure, Google Cloud
- Pricing Model
- Usage-based (No per-seat fees)
How it works
- Define Business Semantics: Administrators define business semantics and metrics in Unity Catalog to provide the agent with a foundation of truth.
- Build Context Layer: The Genie Ontology captures signals and business knowledge from across the Databricks estate to build a deep understanding of the data.
- Engage in Natural Language: Business users interact with the agent through the Genie One interface or custom apps, asking questions in plain English.
- Analyze and Iterate: The agent provides answers and visualizations, which users can refine through follow-up questions and self-service exploration.
Pricing
- AI/BI (includes Genie)
- No per-seat or per-license fees; usage-based pricing applies to underlying compute
FAQ
What are Genie Agents?
Genie Agents are conversational analytics tools that allow anyone in an organization to engage with data through natural language. They are powered by data intelligence to understand unique business concepts and continuously learn from platform signals.
How does Genie understand my business context?
Genie Agents use the Genie Ontology, which is an enterprise context layer that combines governed and continuously learned business knowledge. This ensures the agent provides trusted, permission-aware answers based on the organization's specific data.
How is data governed when using Genie?
Genie is natively integrated with Unity Catalog, which provides unified governance and semantics. This ensures that metrics, lineage, and permissions remain seamlessly aligned across BI dashboards and AI agents.
Is there a per-user fee for Genie?
Databricks does not charge per-seat or per-license fees for AI/BI, which includes Genie. This is intended to remove barriers to access and eliminate hidden BI costs across the organization.
Added by AntSpace from public sources (databricks.com).