From d74b9c786294b4e02077bf5b655b4fd584886bef Mon Sep 17 00:00:00 2001 From: Daniel Hladek Date: Fri, 20 Mar 2026 09:52:13 +0100 Subject: [PATCH] zz --- pages/interns/bogdan_paul_chis/README.md | 27 ++++++++++++++++++++---- 1 file changed, 23 insertions(+), 4 deletions(-) diff --git a/pages/interns/bogdan_paul_chis/README.md b/pages/interns/bogdan_paul_chis/README.md index 9e61ba4d..3189b20a 100644 --- a/pages/interns/bogdan_paul_chis/README.md +++ b/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