📄🤖 PDF Question and Answer System Using LLM and FAISS

Intelligent Document Analysis with Generative AI, Semantic Search & Conversational Intelligence

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🚀 Overview

The PDF Question and Answer System Using LLM and FAISS is an AI-powered document intelligence platform that transforms static PDF documents into interactive knowledge sources.

Users can upload PDFs, ask natural language questions, and receive context-aware answers generated through the combination of Semantic Search, Vector Embeddings, and Google Gemini LLM.

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✨ Key Features

🔹 Upload and analyze PDF documents

🔹 Semantic search using FAISS

🔹 Context-aware answers using Gemini AI

🔹 HuggingFace embeddings for document understanding

🔹 Multi-turn conversational memory

🔹 Real-time chat interface with Streamlit

🔹 Export conversation history as PDF

🔹 Fast vector similarity search

🔹 Research-paper and technical-document support

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🛠️ Tech Stack

Category	Technology
🐍 Language	Python
🎨 Frontend	Streamlit
🤖 LLM	Google Gemini
🧠 Embeddings	HuggingFace MiniLM
🔍 Vector Search	FAISS
📄 PDF Processing	PyPDF2
📤 Export	FPDF
🚀 AI Domain	Generative AI, NLP, Semantic Search

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WhatsApp.Video.2026-06-10.at.13.04.09.1.1.mp4

📚 Research Publication

🏆 Published in IEEE

📄 PDF Question and Answer System Using LLM and FAISS

👥 Authors

• Mudabbir Naragaddi
• Esha Yalagi
• Omkar Yametkar
• Dhulesh Shivakale
• Prof. Savita Bagewadi

📖 Conference

2025 IEEE 4th International Conference for Advancement in Technology (ICONAT 2025)

📌 DOI

10.1109/ICONAT66879.2025.11362602

🔗 Publication Links

• 🌐 IEEE Xplore https://ieeexplore.ieee.org/document/11362602

• 📑 Semantic Scholar https://www.semanticscholar.org/paper/PDF-Question-and-Answer-System-Using-LLM-and-FAISS-Naragaddi-Yalagi/185e7ef26c1b99161278e774aab1b11c1a6dbeec

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📸 Project Workflow

📄 Upload PDF
        │
        ▼
📑 Extract Text
        │
        ▼
✂️ Text Chunking
        │
        ▼
🧠 Generate Embeddings
        │
        ▼
🔍 Store in FAISS
        │
        ▼
❓ User Query
        │
        ▼
📚 Retrieve Relevant Chunks
        │
        ▼
🤖 Gemini AI Response
        │
        ▼
📤 Export Chat History

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🎯 Applications

• 📚 Academic Research
• ⚖️ Legal Document Analysis
• 🏢 Enterprise Knowledge Management
• 📄 Technical Documentation
• 🎓 Educational Assistance
• 🔬 Research Paper Exploration

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👨‍💻 Authors

Esha Yalagi

B.E. Computer Science (Artificial Intelligence) KLE Technological University, Belagavi

Mudabbir Naragaddi

Omkar Yametkar

Dhulesh Shivakale

Prof. Savita Bagewadi

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