🤖 Chat with Gemini

A Streamlit application that combines Retrieval-Augmented Generation (RAG) with Google Gemini AI to create an intelligent document chat system with multi-modal capabilities.

✨ Features

• 📚 RAG Chat: Upload PDFs and chat with your documents using intelligent retrieval
• 💬 Direct Chat: Have conversations directly with Google Gemini
• 🖼️ Image Analysis: Upload and analyze images with Gemini Vision
• 📄 PDF Processing: Automatic text extraction and intelligent chunking
• 🔍 Source Attribution: See which documents were used for each response
• 💾 Conversation Memory: Maintains context across multi-turn conversations

🛠️ Tech Stack

• Frontend: Streamlit
• LLM: Google Gemini 1.5 Flash
• Framework: LangChain
• Vector Store: DocArrayInMemorySearch
• Embeddings: Google Generative AI Embeddings
• PDF Processing: PyPDF2
• Image Processing: Pillow + Gemini Vision

⚠️ Privacy Notice

• API calls are made to Google's servers
• No data is permanently stored by the application