Gemini RAG Chat

Experience the future of document-based AI conversations with Chrome's built-in Gemini Nano model. Upload your documents and have intelligent, context-aware discussions about their content.

Launch Application

Powerful Features

Discover what makes this RAG chat application unique and powerful

Gemini Nano Integration

Built-in Chrome AI model for fast, local processing without external API calls. Experience lightning-fast responses with complete privacy.

Document Processing

Support for multiple file formats including PDF, TXT, DOC, and DOCX. Drag-and-drop interface with real-time processing feedback.

Intelligent Chat

Context-aware conversations based on your uploaded documents. Ask questions and get intelligent, relevant responses.

Chat History

Persistent conversation history with easy navigation. Restore previous conversations and continue where you left off.

Responsive Design

Beautiful, modern interface that works seamlessly on desktop, tablet, and mobile devices with intuitive navigation.

Privacy First

All processing happens locally in your browser. No data is sent to external servers, ensuring complete privacy.

Try It Now

Experience the power of document-based AI conversations. Upload your documents and start asking intelligent questions about their content.

  • Upload multiple document formats
  • Ask questions about document content
  • Get intelligent, context-aware responses
  • Save and restore conversation history
Start Demo

Interactive Demo Interface

Sample Document Included

A comprehensive AI/ML overview document is included for testing. Upload it and ask questions about artificial intelligence, machine learning, and their applications.

System Requirements

Ensure your system meets the requirements for optimal performance

Google Chrome Browser

Latest stable version with Gemini Nano support

Internet Connection

Required for initial model download (one-time)

Sufficient Memory

Recommended 4GB+ RAM for optimal performance

Modern Processor

Multi-core processor for efficient AI processing