Building a Biomedical Question-Answering System Using RAG

Description

With the explosion of biomedical research and literature, extracting relevant information efficiently has become a challenging task. Large Language Models (LLMs) like GPT-4o-mini, combined with a Retrieval-Augmented Generation (RAG) pipeline, offer a promising approach for building robust question-answering (QA) systems.

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