Semantic Search
Retrieval Augmented Generation replaces brittle keyword matching with deep semantic understanding. Queries in natural Dutch are transformed into vector embeddings and matched against verified hospital content.
Monthly Visitors
Search Queries / Month
Medical Brochures
Conditions Covered
Knowledge Graph
A Neo4j knowledge graph captures the relationships between doctors, departments, conditions, treatments, and campuses -- enabling structured entity lookups that pure vector search cannot achieve.
Medical Safety
A multi-layer safety architecture ensures the system never provides medical advice. Intent classification, post-generation validation, quality gates, and mandatory disclaimers work in concert.
Built for Healthcare
The ZOL Intelligent Search system combines multiple AI disciplines into a cohesive, safety-first architecture designed specifically for the healthcare domain.
- Retrieval Augmented Generation grounds every response in verified hospital content
- Knowledge Graph captures relationships between doctors, departments, conditions, and treatments
- Multi-layer safety ensures the system never provides medical advice
- Hybrid evaluation validates response quality in real time
Frontend
React + TypeScript chat interface
API Layer
FastAPI with WebSocket streaming
RAG Pipeline
Intent, retrieval, generation, evaluation
Data Layer
pgvector + Neo4j + Redis + MinIO