📄 Advanced RAG Chat with PDF Assistant

An AI-powered Retrieval-Augmented Generation (RAG) application that allows users to upload PDF documents and interact with them through a conversational interface. The system retrieves relevant information from uploaded PDFs using semantic search and generates context-aware responses using Google Gemini.

✨ Features

• Upload and chat with PDF documents
• AI-powered question answering
• PDF summarization and short notes generation
• Semantic search using FAISS vector database
• Context-aware responses using Google Gemini
• Page-wise source citations
• Conversation history
• Interactive Streamlit interface
• Robust API error handling

🛠️ Tech Stack

• Python
• Streamlit
• LangChain
• Google Gemini API
• FAISS
• Hugging Face Embeddings (all-MiniLM-L6-v2)
• PyMuPDF
• Git & GitHub

📸 Screenshots

🏠 Home Page

💬 Chat Interface

📂 Project Structure

advanced-rag-chat/
│── app.py
│── requirements.txt
│── README.md
│── config/
│── prompts/
│── src/
│── data/
└── logs/

🚀 Installation

Clone the repository:

git clone https://github.com/Abhilasha45/advanced-rag-chat-pdf.git

Move into the project directory:

cd advanced-rag-chat-pdf

Install dependencies:

pip install -r requirements.txt

Create a .env file and add your Google Gemini API key.

Run the application:

streamlit run app.py

🚀 Roadmap

• PDF Upload
• Semantic Search
• Gemini Integration
• Conversation History
• PDF Summarization
• Premium UI
• FAISS Caching
• Confidence Score
• Multi-PDF Comparison

👩‍💻 Project By

Abhilasha Mishra

B.Tech in Computer Science & Engineering (Artificial Intelligence)