Build a Personal Medical Vector Database with Qdrant and RAG

This guide shows how to use Qdrant, Unstructured.io, and Sentence-Transformers to create a searchable personal health knowledge base from messy medical records. The system ingests PDFs, scans, and EMRs, converts them to vector embeddings, and enables instant retrieval via a FastAPI interface. It allows cross-year symptom correlation and trend analysis without sending sensitive data to the cloud.