How much developer time does it actually take to build custom internal chatbots that can query our proprietary SQL database securely?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How much developer time does it actually take to build custom internal chatbots that can query our proprietary SQL database securely?
1 real search · 1 real-search pass
secure text-to-sql architecture read-only database permissions row-level security LLM chatbot production guidanceGoogle ↗
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
secure text-to-sql architecture read-only database permissions row-level security LLM chatbot production guidance Google ↗
- SQL Server Security Best Practices - SQL Server · learn.microsoft.com
- Multi-tenant LLM analytics with row-level security: How we built a secure agent on AWS · aws.amazon.com
- Before You Build an AI SQL Agent, Build the Safety Layer · timdietrich.me