Accelerated Innovation

Searching & Retrieving Your GenAI Data

Text-to-SQL Search

Workshop
Can your users safely and reliably query structured data using natural language?

Text-to-SQL search promises powerful access to enterprise data, but poorly designed systems can generate incorrect queries, expose sensitive data, or incur unexpected execution costs. 

To win, your text-to-SQL capabilities must produce accurate, safe, and cost-aware queries aligned to real schemas. 

The Challenge

Teams implementing text-to-SQL search commonly struggle with: 

  • Model misalignment: Translation models that misunderstand schemas, joins, or business semantics. 
  • Ambiguous queries: Natural language questions that lead to incorrect, unsafe, or poorly formatted SQL. 
  • Operational risk: Limited controls over permissions, query safety, accuracy, and execution cost. 

Uncontrolled text-to-SQL systems can expose data, degrade trust, and create real financial and operational risk. 

Our Solution

In this hands-on workshop, your team designs and evaluates text-to-SQL search workflows that balance usability, safety, and accuracy. 

  • Understand how modern text-to-SQL translation models generate structured queries. 
  • Align natural language questions with enterprise schemas and data constraints. 
  • Improve query disambiguation and SQL formatting for correctness and readability. 
  • Manage permissions and enforce query safety to protect sensitive data. 
  • Evaluate output accuracy and execution cost to support production use. 
Area of Focus
  • Understanding Text-to-SQL Translation Models 
  • Aligning Questions with Structured Schemas 
  • Improving Query Disambiguation and Formatting 
  • Managing Permissions and Query Safety 
  • Evaluating Output Accuracy and Execution Cost 
Participants Will
  • Understand the strengths and limits of text-to-SQL translation models. 
  • Design workflows that align user questions to real-world schemas. 
  • Reduce ambiguity and errors in generated SQL queries. 
  • Apply safety and permission controls to protect enterprise data. 
  • Evaluate text-to-SQL outputs for both accuracy and cost efficiency. 

Who Should Attend:

Data EngineersSolution ArchitectsPlatform EngineersBackend EngineersGenAI Engineers

Solution Essentials

Format

Virtual or in-person

Duration

8 hours 

Skill Level

Intermediate; SQL and backend experience recommended 

Tools

Text-to-SQL models, structured schemas, controlled execution environments 

Is your text-to-SQL system safe enough for real enterprise data?