📚 AI Study Assistant (RAG-based)

🚀 Overview

An AI-powered study assistant that processes PDF documents and generates answers using Retrieval-Augmented Generation (RAG).
It extracts content from documents, converts them into embeddings, retrieves relevant information, and generates meaningful answers.

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✨ Features

• 📄 PDF text extraction
• 🧩 Text chunking
• 🔍 Semantic search using FAISS
• 🤖 Answer generation using LLM (Ollama/OpenAI)
• ⚡ Fast and efficient retrieval system

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🧠 Tech Stack

• Python
• Sentence Transformers
• FAISS (Vector Search)
• PyMuPDF / pdfplumber
• Ollama / OpenAI
• RAG (Retrieval-Augmented Generation)

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📂 Project Structure

ai-study-assistant/ │── rag_pipeline.py # Core RAG logic │── test.py # Run and test the system │── uploads/ # Input PDFs │── requirements.txt # Dependencies │── README.md # Project documentation