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pages/interns/dries_huybens/README.md

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+---
+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
+