RAGcanvas Enterprise AI Chatbot Platform

## The Problem 🤔 Traditional chatbots either hallucinate answers or provide generic responses. Enterprise teams need: - Accurate answers grounded in company documents - Complete data isolation between departments/clients - Flexible AI models for different use cases - Easy integration without coding ## The Solution ✨ RAGcanvas combines Retrieval-Augmented Generation (RAG) with modern LLMs to create intelligent chatbots that: **🧠 Advanced RAG Technology** - Train on PDFs, docs, and knowledge bases - Semantic search retrieves relevant context - LLM generates accurate, grounded responses - No hallucinations - only fact-based answers **🏢 True Multi-Tenancy** - Organization-based data isolation - Role-based access control (Admin/Manager/Member/Viewer) - Team collaboration with invite system - Perfect for agencies and enterprises **🤖 Multi-LLM Support** - GPT-4, Claude, Gemini, and more - Switch models per chatbot - Compare performance and cost - Future-proof your AI stack **⚡ No-Code AI Actions** - Lead collection forms - Cal.com appointment booking - Email automation triggers - Customer support ticketing - Phone call routing - Custom webhooks **🎤 Voice Conversations** - Natural speech recognition - Text-to-speech responses - Perfect for accessibility - Mobile-friendly interface **🔒 Enterprise Security** - Row-Level Security (RLS) at database level - SOC 2 Type II ready architecture - Data encryption at rest and in transit - Audit logs and compliance tools **💰 Transparent Token Pricing** - Free: 25,000 tokens/month - Starter: 750,000 tokens/month - Pro: 2.5M tokens/month - Enterprise: Unlimited + SLA **🛠️ Built With** React, TypeScript, Supabase, TailwindCSS - fully open-source stack ## Who Is This For? 👥 ✅ SaaS companies needing customer support automation ✅ Agencies managing multiple client chatbots ✅ Enterprises requiring department-level data isolation ✅ Developers wanting RAG without infrastructure headaches ## Get Started 🚀 Try free with 25,000 tokens - no credit card required. Deploy in minutes, scale to millions.