[Project] Multimodal Retrieval-Augmented Generation (RAG)

April 2026 - Present

Affiliation: Postdoctoral Researcher, SnT — University of Luxembourg

Target Audience: Information Retrieval Research Community

  • Context-Aware RAG Pipeline: a real-time RAG workflow as an end-to-end solution for integrating multimodal data sources for recommendation systems.
  • Extensible Agnostic Architecture: covers a plug-and-play architectural structure, providing clean abstraction layers so developers can swap downstream LLMs, VLMs, or custom reasoning kernels.
  • 💡 Stack: Python, Language Models (LLM/VLM)