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Holistic and deep knowledge organisation and exploration tool featuring interactive knowledge maps for intuitive discovery and comprehensive understanding

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Arkadium.ai project

Open-source system for holistic and deep knowledge organization, combining Retrieval-Augmented Generative models, Conversational Search, and Interactive Knowledge Maps for intuitive knowledge discovery and comprehensive understanding.

License

This project is licensed under the Apache License 2.0. See the LICENSE file for details.

Authors

By Jordi Berenguer Opengea SCCL https://www.opengea.org

Overview

The Arkadium project aims to enhance knowledge organization and discovery through a comprehensive system that includes the Globalium-X model, the Arkadium Framework, and the Arkadium.ai user-centered application. This platform leverages advanced technologies to provide holistic, accurate, and contextually relevant knowledge retrieval and synthesis.

Key Components

  1. Globalium-X Model

    • A hyperdimensional ontological model that organizes language entities, relationships, and categories using multilingual dictionaries, thesauruses, and ontologies from trusted data sources.
    • Ensures high-quality, contextually relevant knowledge representations.
  2. Arkadium Framework

    • Employs fine-tuned Retrieval-Augmented Generation (RAG) models for semantic analysis, mapping, and categorization.
    • Enables accurate, dynamic knowledge retrieval and synthesis.
  3. Arkadium.ai Web Application

    • An interactive tool that generates multi-dimensional knowledge maps via conversational AI.
    • Allows users to explore and visualize interconnected knowledge entities deeply.
    • Provides contextual understanding and fosters a holistic perspective on complex topics.

Installation

To install and run the Arkadium project, follow these steps:

  1. Clone the repository: git clone https://github.com/yourusername/arkadium.git

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Holistic and deep knowledge organisation and exploration tool featuring interactive knowledge maps for intuitive discovery and comprehensive understanding

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