yaacoo/graphRagSqlator
LLM graph-RAG SQL generator for large databases with poor documentation
This tool helps data analysts and researchers quickly query large, complex databases, especially in healthcare, that lack clear documentation or schema. You provide a natural language question (like "how many patients had disease X last year?"), and it generates a ready-to-use SQL query by understanding the database structure. It's ideal for those who need to extract insights from messy data without spending hours deciphering table relationships.
No commits in the last 6 months.
Use this if you need to write SQL queries for large, poorly documented databases and want to save time by generating complex queries from simple English questions.
Not ideal if your database is small, well-documented, or if you prefer to write all SQL queries manually from scratch.
Stars
19
Forks
9
Language
Python
License
—
Category
Last pushed
Sep 12, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/rag/yaacoo/graphRagSqlator"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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