vanna and SQLBot
Both tools are competitors, offering distinct open-source solutions for Text-to-SQL generation via LLMs using RAG, with one (Vanna.AI) demonstrating significantly higher adoption and community engagement based on its star count and monthly downloads.
About vanna
vanna-ai/vanna
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Implements an agentic architecture where LLMs delegate to user-aware tools (SQL execution, custom functions) with row-level security filtering built into tool execution. Provides a framework-agnostic FastAPI integration with lifecycle hooks for quota/audit enforcement, plus a pre-built `
About SQLBot
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.
Combines workspace-level resource isolation with fine-grained permission controls for secure multi-tenant data access. Supports multiple LLM providers (OpenAI-compatible and native APIs) plus integrations with n8n, Dify, MaxKB, and DataEase through Web embedding, popups, and MCP protocols. Features a feedback loop that iteratively refines SQL generation accuracy through custom prompts, terminology libraries, and SQL example curation based on user interactions.
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