Building an Agentic Healthcare Retrieval System Using QQL and Qdrant

Today we are going to build an intelligent healthcare RAG system capable of understanding patient-doctor conversations using Qdrant, QQL, and agentic AI orchestration using Agno. Instead of relying on traditional keyword search, this system semantically understands conversations, retrieves clinically relevant context, and generates grounded responses from real medical interactions. We start with conversational healthcare datasets from Hugging Face, transform them into executable QQL scripts, index them into Qdrant, and expose the retrieval layer through an Agno agent.