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Source channel @githubtrending · Post #15085 · Aug 22

#python#chatbi#deepseek#llm#nl2sql#rag#sqlbot#text_to_sql#text2sql SQLBot is an easy-to-use intelligent system that turns natural language questions into SQL queries using advanced AI models and retrieval-augmented generation (RAG). You just need to set up your AI model and data source to start asking questions about your data. It integrates smoothly with other business systems and AI platforms, making it simple to add smart data querying to your apps. It also ensures data security with workspace-based resource isolation and fine-grained access control. You can quickly deploy it on a Linux server using Docker, enabling fast, secure, and intelligent data interaction without needing deep SQL knowledge. This saves you time and improves data accessibility. https://github.com/dataease/SQLBot

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@JianjiaoPD · Post #10927 · 05/12/2026, 03:34 AM

✈️ 开发者自荐 | TradingAgents:把股票代码发给 Bot 让 AI 进行分析 🏷 检索标签:#TradingAgentsTelegram#TradingAgents#TGBot#股票分析#AI#股票 ⭐️ 详情介绍:TradingAgents-Telegram 是一个基于 TradingAgents 的 TG Bot 项目,发股票代码给 Bot,就能看 AI 对股票、市场情绪和观点做分析。适合已经在看 TradingAgents,但不想每次都打开 Terminal 的人,聊天式操作比命令行会轻便很多 分析内容还能通过 Telegraph 输出,分享和回看都方便一些;且支持 自己docker compose部署 📖GitHub·TradingAgents ✈️ 来源:@IvanWng97 开发者投稿 😌频道 |🙂群聊 |😋中文包 |☺️搜索