Cannabase
Poland's medical-cannabis market is scattered across pharmacy price lists, producer PDFs and closed patient groups - Cannabase pulls it into one place. The catalog covers strains with terpene profiles and THC/CBD ratios, linked to near-real-time availability and prices in pharmacies across the country, plus a directory of clinics that issue prescriptions. Automated ingestion and normalization jobs reconcile inconsistent naming between producers and pharmacies, so the same product does not appear five times under five spellings. Dendi, the built-in AI assistant, runs a RAG pipeline over that catalog: it answers questions about a given strain, checks what is available near the patient and suggests alternatives with a similar terpene and cannabinoid profile when something is out of stock. Built on FastAPI and SQLAlchemy with Postgres + pgvector for embeddings, and a Next.js frontend.
- Python
- FastAPI
- SQLAlchemy
- Postgres + pgvector
- Next.js
- Docker
