OntologyRAG
What it is
OntologyRAG is a retrieval-augmented generation (RAG) pipeline designed for biomedical code mapping. It enhances Large Language Models by integrating ontology knowledge graphs and in-context learning to improve the accuracy and speed of mapping medical codes.
The problem it solves
Standard RAG systems often struggle with the complex, nuanced relationships in biomedical ontologies, leading to inaccurate code mapping.
What you could use it for
- Mapping ICD-10-CM medical codes to ICD-11
- Retrieving medical ontology data using natural language queries
- Automated biomedical code mapping with reasoning-enhanced prompts
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