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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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@githubtrending · Post #14858 · 06/23/2025, 01:30 PM

#other#ai#bolt#copilot#cursor#cursorai#devin#devinai#github_copilot#lovable#open_source#replit#system_prompts#trae#trae_ai#trae_ide#v0#vscode#windsurf#windsurf_ai You can access a huge collection of over 7000 lines of official system prompts and internal tools from many AI models and agents like v0, Manus, Cursor, Replit Agent, and more. These prompts guide AI to work better by giving clear instructions, which helps the AI give more accurate and useful answers. Using these prompts can save you time, improve AI performance, and make your interactions with AI smoother and more productive. Plus, there’s a free AI security audit service to help protect your AI systems from leaks and hacks, keeping your data safe. Supporting this project helps keep these valuable resources updated. https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools