About
This agent addresses information overload by transforming the student handbook into an interactive dialogue interface. Instead of manually searching through dense documents, students can access essential information and receive clear, conversational explanations of university regulations and guidelines instantly. Technically, the system utilizes a Retrieval-Augmented Generation (RAG) pipeline that combines dense vector embeddings with LLM generation. The knowledge base consists of handbook documents parsed into chunks and indexed in a vector database, while a hybrid search mechanism (keyword + semantic) and caching mechanisms ensure accurate, context-aware, and fast responses.
Features
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Instant Information Access: Provides quick retrieval of essential handbook data through queries.
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Conversational Explanations: Translates formal handbook text into natural, easy-to-understand explanations.
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Real-Time Interaction: Integrated with chat interfaces for immediate student support.
