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pages/interns/bogdan_paul_chis/README.md

@@ -3,13 +3,32 @@ title: Bogdan Paul Chiș
 published: true
 taxonomy:
     category: [erasmus]
-    tag: [nlp]
+    tag: [nlp, ie, rag, medical]
     author: Daniel Hladek
 ---
 
 ERASMUS Intern Spring 2026, 20 March - 21 May (62 days)
 
-- Information Extraction
-- (multilingual) Triplet extraction
-- Light RAG - Simple RAG. 
+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.
+- 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