🐥 Wren AI: Open-Source Text-to-SQL AI Agents!
In this video, we explore Wren AI, an innovative open-source tool that lets you generate SQL queries from natural language—no coding required! Whether you’re an AI enthusiast, data analyst, or developer, Wren AI makes querying databases effortless.
🐥What is Wren AI?
• A free, open-source SQL AI agent that translates natural language into precise SQL queries.
• Built with RAG architecture for data security—your raw data stays private.
• Supports multiple LLMs (OpenAI, Ollama, Gemini, and more).
• Compatible with PostgreSQL, MySQL, BigQuery, and other databases.
✅ Key Features
• Intuitive UI for real-time query refinement.
• Semantic understanding maps business terms to database schemas.
• AI-generated insights alongside SQL results.
• Multi-language support (English, Chinese, Japanese, etc.).
✅ Step-by-Step Installation Guide
• Docker Setup: Clone the repo, configure environment variables, and launch services.
• Custom LLM & Embedding Models for advanced customization.
✅ Live Demo 💻
• Import a sample dataset (e.g., e-commerce or NBA stats).
• Ask natural language queries like:
“Show me the average review score for customers in each city.”
• Watch Wren AI generate SQL, visualize results, and explain its reasoning.
• Explore dynamic follow-up question suggestions powered by AI!
⏱️ Timestamps
00:00 – Intro to Wren AI: Why It’s a Game-Changer
00:54 – Installation & Configuration (Docker + Custom Models)
01:48 – Demo: From Natural Language to SQL in Seconds
04:17 – Closing Thoughts: The Future of GenBI Tools
🔗 Resources & Links
• GitHub Repo: https://github.com/Canner/WrenAI
• Official Docs: https://docs.getwren.ai
💡 Why You’ll Love Wren AI
✨ No-code analytics – perfect for non-technical users.
🔧 Extensible architecture – swap LLMs, tweak embeddings, and deploy anywhere.
🌍 Community-driven – contribute to its roadmap and shape the future of GenBI!
🔥 Like, Subscribe & Hit the Bell to stay updated on open-source AI tools! Drop your questions below—let’s geek out about SQL and AI together!
🔔 PS: Developers, check out the Modeling Definition Language (MDL) to define data relationships and calculations—supercharge your semantic engine!
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Introducing Wren AI Cloud
Introducing Wren AI Cloud: Empowering You to Talk to Your Data. Expanding Data Accessibility Across Organizations. Announcing Wren AI Cloud aims to democratize data access for businesses with AI. 🤘 About Wren AI Wren AI is committed to making data more accessible to organizations worldwide. With a community-driven approach, Wren AI develops tools that empower businesses to harness the full potential of their data, driving innovation and efficiency across all operations. 👉 Learn more about Wren AI Cloud: https://getwren.ai/
🐥 Wren AI: Open-Source Text-to-SQL AI Agents!
In this video, we explore Wren AI, an innovative open-source tool that lets you generate SQL queries from natural language—no coding required! Whether you’re an AI enthusiast, data analyst, or developer, Wren AI makes querying databases effortless. 🐥What is Wren AI? • A free, open-source SQL AI agent that translates natural language into precise SQL queries. • Built with RAG architecture for data security—your raw data stays private. • Supports multiple LLMs (OpenAI, Ollama, Gemini, and more). • Compatible with PostgreSQL, MySQL, BigQuery, and other databases. ✅ Key Features • Intuitive UI for real-time query refinement. • Semantic understanding maps business terms to database schemas. • AI-generated insights alongside SQL results. • Multi-language support (English, Chinese, Japanese, etc.). ✅ Step-by-Step Installation Guide • Docker Setup: Clone the repo, configure environment variables, and launch services. • Custom LLM & Embedding Models for advanced customization. ✅ Live Demo 💻 • Import a sample dataset (e.g., e-commerce or NBA stats). • Ask natural language queries like: “Show me the average review score for customers in each city.” • Watch Wren AI generate SQL, visualize results, and explain its reasoning. • Explore dynamic follow-up question suggestions powered by AI! ⏱️ Timestamps 00:00 – Intro to Wren AI: Why It’s a Game-Changer 00:54 – Installation & Configuration (Docker + Custom Models) 01:48 – Demo: From Natural Language to SQL in Seconds 04:17 – Closing Thoughts: The Future of GenBI Tools 🔗 Resources & Links • GitHub Repo: https://github.com/Canner/WrenAI • Official Docs: https://docs.getwren.ai 💡 Why You’ll Love Wren AI ✨ No-code analytics – perfect for non-technical users. 🔧 Extensible architecture – swap LLMs, tweak embeddings, and deploy anywhere. 🌍 Community-driven – contribute to its roadmap and shape the future of GenBI! 🔥 Like, Subscribe & Hit the Bell to stay updated on open-source AI tools! Drop your questions below—let’s geek out about SQL and AI together! 🔔 PS: Developers, check out the Modeling Definition Language (MDL) to define data relationships and calculations—supercharge your semantic engine!
Lessons and news from the AI world for Trino
Panel discussion at Trino Summit 2024 moderated by Manfred Moser with the following panelists: - Dain Sundstrom, Trino co-creator and CTO at Starburst - https://www.starburst.io/ - Gunther Hagleitner, CEO & Co-founder at Waii - https://waii.ai/ - Mustafa Sakalsiz, Founder and CEO at Peaka - https://www.peaka.com/ - Rong Rong, Software Engineer, at CharacterAI - https://character.ai/ - William Chang, Co-founder & CTO at Canner and WrenAI - https://cannerdata.com/ and https://getwren.ai/ More talks and resources at https://trino.io/blog/2024/12/18/trino-summit-2024-quick-recap and https://trino.io