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Retrieval-Augmented Generation (RAG) pipeline specifically designed for processing and querying Electronic Health Record (EHR) documents using configurable vector databases and embedding models.
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The project is a personal experiment or tutorial-level repository with no community traction (0 stars/forks). While it focuses on the niche domain of EHR, the underlying RAG patterns are commodity implementations that frontier lab platforms (like Google Vertex AI for Healthcare or Azure Health Insights) are increasingly automating as native features.
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