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This project aims to develop an AI powered system consisting web and mobile app that supports inquiry-based learning during art museum visits and evaluate its impact on art students learning outcomes.
About
RAG pipeline and semantic search system for museum collections using PostgreSQL, pgvector, and LangChain. Supports natural language querying of artwork and curator data with hybrid SQL and vector retrieval, automated ingestion, and CI/CD deployment.
