Real ChatGPT answer · index seedDgXnrDkRvC4completeB2B software · AI and automation toolsinformational
What are the best practices for structuring natural language prompts when teaching an LLM to write complex SQL queries against a live customer database?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices for structuring natural language prompts when teaching an LLM to write complex SQL queries against a live customer database?
1 real search · 1 real-search pass
enterprise text-to-SQL best practices schema grounding query validation database security read-only least privilege official documentationGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
enterprise text-to-SQL best practices schema grounding query validation database security read-only least privilege official documentation Google ↗
- Techniques for improving text-to-SQL · cloud.google.com
- EDB Docs - EDB Postgres AI Database v7 · enterprisedb.com
- EDB Docs - EDB Postgres AI Database v7 · enterprisedb.com
- Generating value from enterprise data: Best practices for Text2SQL and generative AI · aws.amazon.com.cdn.amazon.com
- Generating value from enterprise data: Best practices for Text2SQL and generative AI · aws.amazon.com
- Microsoft Copilot in the SQL Database Workload Overview - Microsoft Fabric · learn.microsoft.com
- Best practices for securing agent interactions with Model Context Protocol | Cloud SQL for MySQL | Google Cloud Documentation · docs.cloud.google.com
- SQL Tool Guidelines for Generative AI Agents · docs.oracle.com
- Dynamic text-to-SQL for enterprise workloads with Amazon Bedrock Agents · aws.amazon.com
- Text2SQL · ibm-self-serve-assets.github.io