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Smart Academic Assistant

A Retrieval-Augmented Generation (RAG) application built using Streamlit and LangChain.

Features

  • Upload PDF, DOCX and TXT documents
  • Semantic search using FAISS
  • Question Answering with Groq Llama 3.3
  • Source document retrieval
  • Confidence score generation

Tech Stack

  • Python
  • Streamlit
  • LangChain
  • HuggingFace Embeddings
  • FAISS
  • Groq LLM

Run Locally

pip install -r requirements.txt
streamlit run main.py

About

An AI-powered academic assistant built with Streamlit that enables semantic document search and intelligent question answering using Retrieval-Augmented Generation (RAG).

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