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A **Retrieval-Augmented Generation (RAG) system** for biomedical information that combines a knowledge graph with natural language processing to answer questions about diseases and symptoms. Built with a robust fallback mechanism ensuring >95% response reliability, processing 10,000+ biomedical entities from structured data.
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