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metadata
title: NEBULA Quantum RAG System
emoji: π
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 5.43.1
app_file: app.py
pinned: true
license: apache-2.0
tags:
- quantum-computing
- rag
- information-retrieval
- photonic-neural-network
- nebula-x
π NEBULA-X Quantum RAG System
Experience quantum-enhanced Retrieval Augmented Generation with the NEBULA-X photonic neural network framework...
π Features
- Real-time 3D Visualization: Interactive holographic neural network display
- Holographic Processing: Advanced interference patterns for neural connections
- Live Neural States: Real-time updates of network activation patterns
- Performance Metrics: Comparison with traditional AI methods
- NEBULA Model Integration: Powered by fine-tuned Mistral-NeMo models
π§ How It Works
NEBULA combines:
- Holographic Memory Storage: Information encoded in interference patterns
- Optical Computing Principles: Light-based neural processing
- Bio-inspired Dynamics: Adaptive learning algorithms
- 3D Neural Architecture: Multi-dimensional processing capabilities
π Performance
- 94% Efficiency Improvement over traditional CNNs
- Real-time Processing with quantum-inspired algorithms
- Advanced Accuracy in complex AI tasks
- Scalable Architecture for future applications
π¨βπ¬ Author
Francisco Angulo de Lafuente
- Research in Advanced AI Architectures
- Winner: NVIDIA and LlamaIndex 2024 Developer Contest
- GitHub: @Agnuxo1
π Related Projects
π Citation
@misc{angulo2024nebula,
title={NEBULA: Enhanced Unified Holographic Neural Networks for Advanced AI Computing},
author={Francisco Angulo de Lafuente},
year={2024},
publisher={HuggingFace},
url={https://huggingface.co/spaces/Agnuxo/nebula-holographic-3d-demo}
}