-Create specialized agents for different departments/topics -Upload proprietary documents for the agent to learn from -Control OCR and data retention settings -Define specific roles and capabilities for each agent -Switch between agents in a clean conversation interface
The technical stack is React 19 frontend with Node.js/Express backend, Supabase for auth/database, and a custom implementation for document processing. I've tried to keep the free tier generous enough to actually be useful (1 agent, 10 queries/month, 5 documents). You can try it without providing a credit card - you can activate the free tier immediately after signup, and you can upload actual documents to test how your own data works with it. What makes this different from other RAG implementations is the multi-agent system and the focus on ease of use - you don't need prompt engineering experience or coding skills to create specialized agents.
Would love feedback, especially from people who've tried building/using their own RAG systems or are dealing with domain-specific knowledge challenges!
Show HN: I built a platform to create private AI agents that only use your data
advantis-ai.pro