Gemini Rag File Search

Gemini RAG File Search Application

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Overview

The Gemini RAG File Search Application is a powerful, user-friendly tool that enables you to upload documents and interact with them through natural language conversations. Built on Google's cutting-edge Gemini API with File Search capabilities, this application provides enterprise-grade Retrieval Augmented Generation (RAG) functionality with a clean, modern interface.

What Makes This Special?

• Fully Managed RAG: No need to manage vector databases, embeddings, or chunking strategies - Gemini handles it all
• State Persistence: Files and store information survive server restarts automatically
• API Documentation Tab: Ready-to-copy cURL commands and API integration examples
• Markdown-Formatted Responses: Beautiful formatting with proper paragraphs, lists, code blocks, and styling
• Rich Metadata Support: Tag documents with custom metadata and filter searches accordingly
• Configurable Chunking: Fine-tune how documents are split for optimal retrieval
• Built-in Citations: Every AI response includes source citations for verification
• System Prompts: Customize AI behavior with custom instructions
• API Key Management: Update your API key directly from the UI
• Loading Indicators: Visual feedback with animated typing dots while AI processes
• Beautiful UI: Clean, professional design with drag-and-drop functionality
• **Cost Effectiv