Infinite Loop AI

RAG System Knowledge Backend

System Architecture: RAG Pipeline

Welcome to the Infinite Loop AI document repository. This directory serves as the source-of-truth for our Retrieval-Augmented Generation (RAG) pipeline. By hosting these documents here, we enable our AI models to fetch real-time, verified context from both Deep Learning research and Medical literature.

DL & ML Docs 100 Files

  1. Logic Tensor Network-Enhanced Generative Adversarial Network
  2. Exponential capacity scaling of classical GANs compared to hybrid latent style-based quantum GANs
  3. SAFE: Secure and Accurate Federated Learning for Privacy-Preserving Brain-Computer Interfaces
  4. AIS-CycleGen: A CycleGAN-Based Framework for High-Fidelity Synthetic AIS Data Generation and Augmentation
  5. 05. Title

Medical Docs 50 Files

  1. A mixed methods analysis of the implementation policy and practice gap of national food safety standards in China's grassroots areas (2023–2024)
  2. Assessing food and nutrient security in Taiwan
  3. Assessment-of-a-novel-functional-food-modulating-the-microbiota_2026
  4. Association-between-multi-component-traditional-chinese-medicin_2025_Allergy.pdf