35 lines
992 B
Markdown
35 lines
992 B
Markdown
---
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title: Bogdan Paul Chiș
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published: true
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taxonomy:
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category: [erasmus]
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tag: [nlp, ie, rag, medical]
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author: Daniel Hladek
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---
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ERASMUS Intern Spring 2026, 20 March - 21 May (62 days)
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Topic:
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(multilingual) Triplet extraction from medical data
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Goal:
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- Construct a knowledge graph from medical package inserts in multiple languages
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- Utilize the graph in an intelligent agent that recommends medication.
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Tasks:
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- Learn intelligent agents and generative models - OpenAI API, Agent frameworks, RAG systems.
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- Learn about knowledge graphs and GraphRAG. Read several research papers.
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- Prepare a Python based workflow, use git code repository
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- Try Light RAG - Simple RAG.
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- Scrape package inserts and parse the data.
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- Index the data and write a script that extracts a knowledge graph from data.
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- Visualize the graph
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- Prepare an agent that utilizes the unstructured data and graph-data.
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- Evaluate the agent using DeepEval or RAGAS.
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- Write a report
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- Put all code to GIT
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