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RAGE is the Retrieval Augmented Generation Engine

GATE is the General Automation Technology Environment

Welcome to the GitHub repository for the RAGE development component of the Advanced RAG Hackathon, hosted by LabLab.ai entered as MASTERMIND with RAGE. This hackathon focuses on the innovative integration and enhancement of Retrieval-Augmented Generation (RAG) systems. Participants will work on expanding the capabilities of RAGE (Retrieval Augmented Generative Engine) as a dynamic learning engine exploring new frontiers in Autonomous Intelligence and Machine Learning.

About RAGE

RAGE is designed to enhance AI applications by integrating advanced retrieval techniques with generative systems as the Engine component of the original RAG. This allows for more accurate, context-relevant outputs in real-time applications such as chatbots, content generation, and complex data analysis as a dynamic (R)etrieval (A)ugmented (G)enerative (E)ngine.

Hackathon Goals

  • Innovate and Enhance: Develop new features or improve existing functionalities of the RAGE engine.
  • Integration: Seamlessly integrate RAGE with other AI components to create more efficient and powerful systems.
  • Collaboration: Work alongside fellow developers, share ideas, and combine expertise to push the boundaries of what's possible with RAGE.
  • Expression of RAGE: as agnostic UI incorporating Vectara and together.ai components for dynamic training as machine dreaming

Getting Started

To participate in the hackathon and start contributing to RAGE development, please follow these steps:

  1. Join the Hackathon: Register at LabLab.ai to participate.
  2. Set Up Your Environment:
    • Fork this repository.
    • Clone your fork locally: `git clone https://github.com/gaterage/aglm
    • Set up your development environment according to the setup instructions chmod +x aglm.install && sudo ./aglm.install

Contribution Guidelines

Please review the CONTRIBUTING.md file for guidelines on how to make contributions. Ensure your submissions adhere to the provided coding standards and pull request etiquette.

Resources

Support

For any queries or technical issues, please open an issue on this repository or contact the hackathon support team at support@lablab.ai.

License

This project is licensed under the MIT License, GPLv2, GPLv3 and Apache License where applicable - see the LICENSE.md file for details.

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