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Rio de Janeiro Databricks User Group

How to design a Databricks Genie Agent that delivers accurate, deterministic answers instead of making assumptions

Summary: A participant discusses the limitations of AI in understanding business logic for SQL and proposes a method to design reliable Databricks Genie Agents. They outline a 4-layer blueprint featuring pre-joined data views, explicit instructions, certified SQL expressions, and seeded Q&A pairs. This approach aims to minimize ad-hoc queries and transform roles from query writers to knowledge architects, with a detailed guide available online.
AI Summary

AI can convert business questions into SQL, but it cannot reliably infer your business logic. Learn how to design a Databricks Genie Agent that delivers accurate, deterministic answers instead of making assumptions.

Drawing from 22+ years of enterprise IT/Data experience, I’ve put together a 4-layer blueprint to build reliable, production-grade Databricks Genie Agents (formerly called Genie Spaces):

• 📊 Data: Pre-joined Unity Catalog views to eliminate guessing.

• 📝 Instructions: Explicitly documented tribal knowledge.

• 🔢 SQL Expressions: Locked-down, certified metrics.

• ⚙️ Example Queries: Seeded Q&A pairs for complex logic.

Stop answering the same ad-hoc questions. Shift your role from query writer to knowledge architect.

👉 Read the full guide here: https://www.sqlservercentral.com/articles/databricks-genie-spaces-for-sql-analysts-natural-language-querying-without-leaving-your-data-platform

0 comments
Mehul Bhuva
4 weeks ago