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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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@emagzinewspars · Post #9736 · 12/18/2025, 03:35 PM

#MIT_Sloan_Management_Review🇺🇸📕[PDF]⬇️ #Winter2026 #Monthly_Magazines For learning, for free(dom). @backupofmagazines This issue explores how leaders can turn volatility into advantage by treating #Uncertainty not as a threat but as a strategic resource. The issue’s cover package on #StrategicForesight shows how scenario planning, analogical thinking, and long-term perspective help organizations navigate an #AI-driven world. Essays on #AuthenticLeadership question whether “being yourself” builds trust or excuses bad behavior, while deep dives into #AlgorithmicPricing and #ResponsibleAI highlight rising legal and ethical risks. Across strategy, innovation, and #Sustainability, the message is clear: progress comes from disciplined adaptation, not endless upheaval.