38 lines
1.0 KiB
Markdown
38 lines
1.0 KiB
Markdown
---
|
|
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
|
|
|