GisoreB/VannaSampleRAG
RAG that uses retrieval augmentation to help you generate accurate SQL queries for your database using LLMs.It works in two easy steps - train a RAG "model" on your data, and then ask questions which will return SQL queries that can be set up to automatically run on your database.
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Oct 13, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/GisoreB/VannaSampleRAG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mindsdb/mindsdb
Query Engine for AI Analytics: Build self-reasoning agents across all your live data
dataease/SQLBot
🔥 基于大模型和 RAG 的智能问数系统,对话式数据分析神器。Text-to-SQL Generation via LLMs using RAG.
vanna-ai/vanna
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
weAIDB/CrackSQL
LLM-based Dialect Translation System
Canner/WrenAI
⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL...