ERASMUS Intern Spring 2026, 20 March - 21 May (62 days)

Topic:

(multilingual) Triplet extraction 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:

• Learn intelligent agents and generative models - OpenAI API, Agent frameworks, RAG systems.
• Learn about knowledge graphs and GraphRAG. Read several research papers.
• Find several existing drug knowledge databases. Identify possible entities and relations.
• Prepare a Python based workflow, use git code repository
• Try Light RAG - Simple RAG.
• Scrape package inserts and parse the data.
• Index the data and write a script that extracts a knowledge graph from data.
• 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