Schema-aware SQL coding agent that generates, executes, and returns query results across databases.
-
Updated
Mar 12, 2026 - Rust
Schema-aware SQL coding agent that generates, executes, and returns query results across databases.
This project enables users to **generate SQL queries from natural language** using **LLM** of their choice while enforcing **Role-Based Access Control (RBAC)** and **Row-Level Security (RLS)**. It also includes **SQL injection detection** and **sensitive data logging** for compliance and security.
Structured Text-to-SQL pipeline combining LLM sketch generation, schema-aware two-phase retrieval, and validation-driven refinement. Improves SQL controllability and correctness via schema embeddings, join-path constraints, and minimal-edit correction. Research-oriented, fully traceable POC on MiniDev / Spider-style datasets.
🧠 Schema-Aware Natural Language to SQL Agent with Fine-tuned T5 Models
Schema Aware XML to JSON translator
🔍 Generate high-quality, schema-valid SQL from natural language queries using structured retrieval and iterative refinement for improved accuracy.
Add a description, image, and links to the schema-aware topic page so that developers can more easily learn about it.
To associate your repository with the schema-aware topic, visit your repo's landing page and select "manage topics."