Stop Digging Through PDFs: Build a FHIR-Standard EHR Knowledge Base with RAG

Short summary

This tutorial demonstrates building a RAG pipeline that parses medical PDFs using Unstructured.io, stores narrative text in Milvus for semantic search and tabular data in DuckDB for trend analysis, then maps results to the FHIR healthcare standard. It includes working Python code for PDF partitioning, vector storage, structured querying, and a LangChain conversational retrieval chain. The author notes production challenges around HIPAA compliance and LLM hallucination risks but leaves those largely unaddressed.

• •RAG pipeline splits medical PDFs into vector (Milvus) and structured (DuckDB) storage
• •FHIR standard mapping enables interoperable EHR queries and trend analysis
• •LangChain ConversationalRetrievalChain combines both stores for natural language answers

Generated with AI, which can make mistakes.