Ragora is two things in one platform: 1. Private RAG for your team Upload your docs, connect Google Drive/GitHub/Confluence/Notion/Dropbox, and get citation-grounded answers in seconds. No data leaves your workspace. Use it from Claude Desktop, Cursor, or any AI tool via MCP — or connect it to Slack, Discord, or Telegram so your team can just ask questions where they already work.
2. A marketplace to sell knowledge to AI agents Package your expertise into a knowledge product. Set per-query pricing or subscription. Earn when AI agents and apps retrieve your data. Think of it as Stripe for knowledge — usage-based monetization without the consulting overhead.
What makes it different: - Hybrid+GraphRAG entity expansion — finds related concepts you didn't explicitly search for - Citations on every response — know exactly which source backed each answer - Works everywhere — API, MCP (Claude/Cursor/VS Code), Slack, Discord - Data connectors — Google Drive, GitHub, Dropbox, Confluence, Notion, S3 - Document versioning with temporal queries — "search as of last Tuesday" - 100-200ms response including reranking and graph context
Use cases we're seeing: - Engineering teams indexing runbooks and SOPs for an internal copilot - Legal/compliance teams with citation-grounded policy assistants - Communities monetizing solved support threads from Slack, Discord - Data companies packaging proprietary datasets for AI consumption - Creators building "chat with my content" experiences
Free tier includes 10K vectors (~6,700 pages of PDFs), 200 retrievals/day, and 30 min of audio/video processing. Pro is $19.99/mo with 100K vectors and unlimited retrievals.
We'd love your feedback — what knowledge would you sell?