Summary
-
- Model
- SaaS subscription
- Build time
- More than 2 weeks
RAGcanvas
ragcanvas.com is an AI-driven knowledge assistant platform that lets you build your own smart RAG technology based chat-bot trained on your content, data and website.
Added October 29, 2025
https://ragcanvas.com/RAGcanvas on Lovable Launched - a full-stack AI chatbot platform
I built entirely with Lovable! 🚀
What makes it unique:
✨ Multi-tenant with RLS security (learned so much about Supabase!)
✨ RAG-powered responses from your own documents
✨ No-code AI Actions (lead capture, booking, email automation)
✨ Voice-enabled conversations
✨ Multi-LLM support (GPT-4, Claude, Gemini)
Went from idea to production in [X weeks] thanks to Lovable's Cloud features.
Would love your feedback and support! 🙏
👉 [Launched Link]
AI snapshot
Project insights
Auto-detected by AIBuild AI chatbots powered by RAG technology with RAGcanvas, a no-code platform supporting multi-tenant security and multi-LLM integration, built on Lovable.
- Monetization
- SaaS subscription
- Build complexity
- More than 2 weeks
- Target audience
- Startups, enterprises, and developers looking to create AI chatbots that leverage their own content and data with secure multi-tenant capabilities and multi-LLM support.
Problem solved
Building intelligent chatbots that provide accurate, context-aware responses from your own documents and data is complex and requires advanced technology and security.
Key features
- Multi-tenant architecture with row-level security using Supabase
- RAG-powered AI responses from user documents
- No-code AI actions like lead capture, booking, and email automation
- Voice-enabled conversations
- Support for multiple large language models (GPT-4, Claude, Gemini)
Stack detected
Reproducible playbook
Focus on integrating secure multi-tenant data access early using tools like Supabase with RLS. Build modular AI features such as no-code actions and multi-LLM support incrementally. Leverage Lovable's cloud features to accelerate deployment and iteration.
AI-generated suggestions based on this project — not a statement from the founder.
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