Developer builds RAG AI assistant that declines to answer when unsure

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A developer created a Retrieval-Augmented Generation application during a Valentius Kryptix internship. The web application answers questions exclusively from a provided PDF document of machine learning notes. It retrieves relevant text chunks using FAISS vector search and generates responses via Groq's API. The system is designed to politely decline answering questions outside its provided documentation. The project was deployed on Render as a working prototype.

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