Replaces traditional collaborative filtering with a Retrieval-Augmented Generation (RAG) system for film discovery. It uses vector embeddings of movie metadata to provide context-aware suggestions via natural language.
Tech Stack
Jupyter NotebookAI, ML & Data
Why moviegpt?
• Contextual recommendations
• Easy Streamlit deployment
• Modern RAG architecture
Limitations
• Small metadata dataset
• High LLM latency
• Basic UI design
3/1/2026
Last Update
2
Forks
5
Issues
Unknown
License
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