SQLBot and SQL-Ball
These are competitors, as both are RAG-powered natural language to SQL generation systems, with the former being a general-purpose intelligent data analysis tool and the latter a specialized application focusing on European football results.
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.
About SQL-Ball
ThomasJButler/SQL-Ball
RAG-powered NL-to-SQL using a custom collated dataset of European football results.
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