Developers Can Build a Personal EHR Knowledge Base Using RAG and FHIR Standards

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A new technical guide published on DEV Community outlines how developers can transform disorganized medical PDF files into a structured, queryable Electronic Health Record system. The approach uses a Retrieval-Augmented Generation pipeline combining Unstructured.io for PDF parsing, Milvus as a vector database for semantic search, and DuckDB for structured analytical queries. Extracted medical data is mapped to the FHIR standard, a globally recognized framework for healthcare data interoperability, enabling consistent and portable health records. The system allows users to ask natural language questions about their health history, such as tracking glucose trends over multiple years. The guide includes step-by-step code examples and a data-flow architecture showing how raw lab reports become structured, FHIR-formatted responses.

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