RAG Sandbox is a multi-tenant Agentic Retrieval-Augmented Generation (RAG) platform that converts your static documents into intelligent, queryable AI knowledge bases, AI-powered podcasts, and immersive stories.

What types of documents can I process with RAG Sandbox?

RAG Sandbox supports a wide range of formats including PDF (with OCR for scanned docs), DOCX, CSV, JSON, TXT, and integrates directly with Gmail for email ingestion.

Can RAG Sandbox generate audio content from my documents?

Yes, it features advanced AI Podcast Generation. You can create two-voice discussion podcasts or first-person narrative stories using premium Cartesia text-to-speech technology.

Is RAG Sandbox designed for multiple users or team environments?

Absolutely. It's built with a multi-tenant architecture, providing isolated user data spaces to ensure privacy and security for individual users and teams alike.

RAG Sandbox

Name: RAG Sandbox
Author: Chiragadve

Transform static documents into intelligent, queryable knowledge bases, AI-powered podcasts, and immersive stories through a multi-tenant Agentic Retrieval-Augmented Generation platform.

关于

RAG Sandbox is an advanced, multi-tenant Agentic Retrieval-Augmented Generation (RAG) platform designed to revolutionize how users interact with their data. It moves beyond basic text retrieval, offering a fully multimodal and intelligent experience by transforming diverse static documents—including PDFs, DOCX, CSVs, JSONs, TXTs, and even Gmail content—into conversable agents. Users can chat directly with their uploaded documents, leveraging vector search and conversational AI for precise context retrieval. Furthermore, the platform empowers users to generate AI-powered podcasts in discussion or story modes directly from their knowledge base, transforming data into engaging audio content.

主要功能

Multi-Format Document Processing (PDF, DOCX, CSV, JSON, TXT, Gmail)
AI Podcast Generation (Discussion & Story Mode, Cartesia TTS)
0 GitHub stars
Developer-Friendly REST API and Model Context Protocol (MCP) Support
Intelligent RAG System with Vector Search and Conversational AI
Multi-tenant Architecture with Isolated User Data Spaces

使用案例

Create intelligent, queryable knowledge bases from diverse document types.
Generate AI-powered podcasts and stories directly from your documents.
Transform email content from Gmail into a conversational knowledge source.