montraydavis/SmolSQLAgents
The Most Powerful Open-Source Autonomous SQL Agents - RAG, NL2SQL
This suite of AI agents helps data professionals quickly get answers from their databases without writing complex SQL. You simply ask questions in plain English, and the system automatically discovers your database schema, understands relationships, and generates the correct SQL query to retrieve validated results and insights. It's designed for data engineers, data analysts, or anyone who frequently interacts with large, complex enterprise databases.
No commits in the last 6 months.
Use this if you need to rapidly query and analyze data from your databases using natural language, reducing the need for manual SQL coding and extensive schema knowledge.
Not ideal if you primarily work with simple, flat data files or small datasets where manual SQL queries are already efficient and straightforward.
Stars
48
Forks
8
Language
Python
License
MIT
Category
Last pushed
Aug 19, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/montraydavis/SmolSQLAgents"
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...