How Lexega Analyzes SQL to Generate Deterministic Governance Signals
A quick tour of signals, rules, and policy decisions. How Lexega parses SQL and emits deterministic governance signals.
Read the full articleYou might also wanna read
LLM SQL Guard Architecture: Parser, Catalog, Policy Engine, Audit Log
A practical reference architecture for securing LLM-generated SQL before execution, covering parser, catalog binding, policy engine, risk sc
How to Evaluate SQL Governance Readiness for LLM-Generated Queries
A practical framework for evaluating whether LLM-generated SQL is ready for production governance, covering parsing, catalog binding, sensit
NL2SQL: A New Approach to Language Model Pipelines
Natural Language to SQL translation faces challenges with large language models. This new study explores innovative integrations to enhance
How AI Tools Like Hugging Face and Streamlit Can Turn Plain English Into SQL
Developers can now build Text-to-SQL applications that convert plain English questions into executable SQL queries using large language mode
Building a Custom Agentic Analytics System: Python, LangChain, and SQL Data Lakes
> **Cross-posted.** This article's canonical home is [Data Lakehouse Hub](
Why Semantic Layers Make Enterprise Text-to-SQL Safer
Text-to-SQL generated serious excitement when early demonstrations showed AI assistants turning plain English into working SQL. It also gene
Comments
Sign in to join the conversation.
No comments yet. Be the first.