---
title: Dries Huybens
published: true
taxonomy:
    category: [erasmus]
    tag: [nlp, ie, rag, medical]
    author: Daniel Hladek
---

ERASMUS Intern Summer 2026, 20 July  - 30 August

Topic:

Multilingual Knowledge Graphs from medical data

Goal:

- Construct a knowledge graph from medical package inserts in multiple languages
- Utilize the graph in an intelligent agent that recommends medication.

Tasks:

- Continue project of [Bogdan Paul Chis](/interns/bogdan_paul_chis)
- Study repositories:
  - https://github.com/chis-facultate/erasmus-kosice
  - https://github.com/hladek/mul-me-kg
  - https://github.com/hkuds/lightrag

- Learn intelligent agents and generative models - OpenAI API, Agent frameworks, RAG systems.
- Learn about knowledge graphs and GraphRAG. Read several research papers.
- Prepare a Python based workflow, use git code repository
- Visualize the graph
- Prepare an agent that utilizes the unstructured data and graph-data.
- Evaluate the agent using DeepEval or RAGAS.
- Write a report
- Put all code to GIT