---
title: "Text-to-SurQL: Prompt engineering for agentic retrieval | Webinar | SurrealDB"
url: https://surrealdb.com/events/text-to-surql-prompt-engineering-for-agentic-retrieval
---

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Thursday, August 27 at 6:00 PM GMT+1

Webinar

# Text-to-SurQL: Prompt engineering for agentic retrieval

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## About this webinar

Most text-to-SQL agents fail for the same boring reason: someone pasted a schema into a system prompt months ago, a field was renamed since, and the model has been confidently writing queries against a database that no longer exists. No runbook fixes that, because documentation always rots at exactly the speed your schema changes. This session takes a different approach. Instead of maintaining the prompt as a document, we generate it as a query. SurrealDB can describe its own live structure, carry notes written specifically for the model inside its DDL, and assemble the finished prompt server side.

Speakers

![Martin Schaer](https://cdn.surrealdb.com/k569ad7lxxtzxxkk5re1vpr5.auto)

Martin Schaer

AI Solutions Engineer at SurrealDB

## In this session you'll learn

How to generate a schema block for your prompt from live database state, so it can never drift

Writing schema comments for a third audience: not the engine, not your colleagues, but the model

Grounding low-cardinality values in real data to stop the most common class of hallucination

Retrieving few-shot examples by meaning with vector search instead of hardcoding them

Why graph traversals are an easier generation target than JOINs, and what that removes

Enforcing safety with read-only roles, query plan checks, and timeouts rather than regex filters

Closing the loop so accepted queries improve the next generation

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