SQL + AI Datathon Winner
ClinIQ
SQL-native clinical intelligence RAG app that answers natural-language questions with grounded evidence from PubMed and ClinicalTrials.gov.
Built independently for the SQL + AI Datathon using SQL Server 2025 native vector search, FastAPI, Data API Builder, and GitHub Models. The core design kept semantic retrieval and structured filtering in one SQL-centric system, which made the architecture simpler, easier to reason about, and more reliable.
View ClinIQ on GitHub
Personal project built independently and designed to make clinical retrieval more practical with SQL-native vectors.
Grounded answers with citations across the full workflow
Semantic search and relational filtering in the same SQL system
Embeddings kept close to operational data for simpler retrieval
Personal hackathon project at the intersection of SQL, AI, and clinical intelligence
SQL Server 2025FastAPIData API BuilderGitHub ModelsPubMedClinicalTrials.gov