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LabbyBot

A Retrieval-Augmented Generation (RAG) bot designed to assist students with queries related to NCERT laboratory exams, practicals, and syllabus content.


🚀 Project Overview

This project uses a RAG architecture to provide accurate and context-aware answers. Instead of relying solely on a Large Language Model's internal knowledge, the bot retrieves relevant information from a dedicated knowledge base of NCERT practical guides before generating a response.

Key Features:

  • Context-Aware Answers: Provides specific answers based on official NCERT documentation.
  • Structured Information Retrieval: Efficiently searches through provided data files.
  • Interactive Interface: (Briefly mention your intended interface, e.g., "A simple Streamlit/Flask web interface.")

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This project uses a RAG architecture to provide accurate and context-aware answers. Instead of relying solely on a Large Language Model's internal knowledge, the bot retrieves relevant information from a dedicated knowledge base of NCERT practical guides before generating a response.

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