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World Congress 2026 Europe • Jul 9, 2026 • Session details

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means

Celeste Horgan

AI agents write perfect SQL but often fail at actual business logic. Discover how semantic YAML models teach LLMs your data's true context and prevent costly hallucinations.

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#1 about 4 min

Contextualizing data challenges through Canadian football fandom

An anecdote about sudden national interest in sports illustrates the necessity of specific domain knowledge.

#2 about 3 min

Evaluating large language model responses to sports data

Initial coding agent queries return technically correct answers that fail to capture the nuanced reality of team performance improvements.

#3 about 3 min

Identifying critical gaps in language model schema interpretation

Coding agents often disregard semantically unclear statistical columns without explicit guidance and structural database context.

#4 about 3 min

Analyzing valid structural query code lacking domain meaning

Perfectly executable database queries generated by an agent fall short without explicit situational metric instructions.

#5 about 1 min

Defining semantic models for agentic data application workflows

Structured configuration files stored alongside database schemas teach coding agents the practical meaning of specialized organizational columns.

Matching moments

37 sec

Preparing enterprise data foundations for artificial intelligence agents

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:27 min

Implementing semantic RAG with fallback for complex queries

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:05 min

Modeling semantic database layers for reliable SQL queries

Gal Shubeli Gal Shubeli · World Congress 2026 Europe

2:27 min

Introducing conversational queries with AI data agents

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

1:43 min

Why language models struggle with enterprise data queries

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:07 min

Enabling direct language model interaction with database structures

Calvin Seward Calvin Seward · Europe 2026 Virtual

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Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 25, 2026 · 16:10–16:40

Stage 6

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means

Kris Jenkins

Host / Developer Voices

Kris Jenkins
Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 3

Sandboxing the Swarm: Building Secure, Serverless AI Agents with Wasm

Thorsten Hans

Sr. Developer Advocate @ Akamai Technologies

Thorsten Hans
Open session

World Congress 2026 North America

September 24, 2026 · 14:50–15:20

Stage 2

Databases in the Agent Era

Monica Sarbu

Founder and CEO of xata.io

Monica Sarbu
Open session

World Congress 2026 North America

September 25, 2026 · 09:00–09:30

Stage 7

AI Agents are Only as Smart as their Context: Building a Real-Time Context Engine at Intuit

Bharat Patel

Lead Software Engineer at Intuit

Bharat Patel
Open session

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

Stage 5

Context Engineering Kung Fu

Carl Lapierre

Tech Lead and AI Engineer at Osedea

Carl Lapierre
Open session

World Congress 2026 North America

September 24, 2026 · 11:40–12:10

Stage 5

Your Agents Need Observability Before They Need Better Models

Julia Furst Morgado

Principal Developer Relations Engineer at Dash0

Julia Furst Morgado

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