Build AI chatbots in hours, not months | ChatRAG

Source: https://www.chatrag.ai/

Full-featured Next.js Build for Launching a SaaS Business with AI Chatbots and Agents.

Pay once — own forever. Transform your data or your clients’ data into recurring revenue. Deploy unlimited RAG-based chatbots, monetize expertise, implement subscriptions, and keep 100% of the profits. Your AI business “out of the box.”

Instant Document Uploading

Upload PDF, Word, Excel, and other files directly in the dashboard. ChatRAG automatically parses, chunks, and integrates the data into a vector database — without manual setup. From upload to a ready knowledge base for the chatbot in just seconds.

Intelligent Dialogues

At the core is a high-performance RAG pipeline: LlamaCloud for intelligent parsing and chunking, OpenAI embeddings for precise semantic search, and Supabase’s HNSW vector index for ultra-fast data retrieval. The codebase is continually updated using the most modern and efficient RAG approaches, providing contextual and reliable answers in real time.

No-Code Customization

Full customization of the chatbot’s behavior, appearance, and “personality” through a user-friendly interface. Change system prompts, upload logos, customize colors, and set up API keys — without a single line of code.

Accounts and Saved Chats

Built-in authentication allows users to register and log in. Chat history is securely saved and synchronized between sessions and devices.

Monetization via Polar and Stripe

Launch paid access to chatbots in minutes. Supports subscriptions and one-time payments with ready integration with Polar and Stripe — without complex setup.

Integration with WhatsApp

Connect the chatbot not only to the web application or embedded widget but also to any WhatsApp number — without a WhatsApp Business account. Quick launch and communication where the users already are.

Advanced “Out of the Box” Features

Share a link, embed a widget, or launch a full-fledged web application and scale globally. Included: image, video, and 3D generation; MCP integrations; web search paired with RAG; executable Artifacts for code visualization; speech-to-text from OpenAI and TTS/STT from ElevenLabs; web interface with localization in 14+ languages.

Deployment Architecture

Single-Tenant — Shared Knowledge Base

All users work with a single set of documents.

Suitable for AI-assistants, product documentation, and support bots.

• Shared documents
• Private chat history
• Set up in a few minutes

Multi-Tenant — Isolated Workspaces

Separate knowledge bases for each user or team.

Ideal for SaaS products like NotebookLM, agencies, and Enterprise solutions.

• Complete data isolation
• Team collaboration and roles
• Pricing plans and limits

Included

• Full-fledged Next.js RAG boilerplate
• LlamaCloud + OpenAI + Supabase Vector DB
• Built-in monetization with Stripe and Polar
• Access to 200+ AI models via OpenRouter
• Ready for Zapier MCP
• Authentication and user management

Documentation: https://www.chatrag.ai/docs

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