LangSaaS

LangSaaS Template – Production-ready AI Chatbot SaaS for Retrieval-Augmented Generation (RAG)

LangSaaS provides a ready-to-use template to create modern, production-ready AI chatbots anchored to your own data sources. It combines LangChain-backed Python processing with a Next.js frontend, enabling quick deployment of AI chat applications that leverage RAG with your document collections or knowledge bases. The template supports multi-user quota/credit management and direct integration with a payment gateway, making it suitable for launching SaaS-style chatbot services.

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Key Capabilities

• Ready-to-run SaaS template to build personalized AI chatbots using Retrieval-Augmented Generation (RAG)
• Native Python backend using LangChain for processing; frontend fully developed in Next.js
• Integrations with LangChain, Qdrant, Cohere, UnstructuredIO, and Stripe for payments
• Deployable on local machines or major cloud providers (Azure, AWS, Google, etc.) with provided documentation
• Create and manage knowledge bases by uploading documents or supplying URLs as anchors
• Single or multi-document RAG chatbots with chat interface, history, and real-time responses
• Built-in multi-user quota/credit management and ready-made payment gateway integration
• Demonstrations: one-click deployment to create your own custom RAG chatbot in seconds
• 3 months of support included with template purchase (including 1-on-1 coaching)
• Licensing support: full source code with project-based or unlimited-use licenses; no recurring template charges

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How to Use LangSaaS Template

1. Create an account and verify your email to access the dashboard.
2. Upload documents or provide URLs to serve as anchors for your chatbot.
3. Create Your Chatbot and start chatting via the chat interface (single document or multi-document knowledge base).
4. Use the dashboard to view usage statistics and upgrade your plan as needed.
5. If needed, deploy the template on local or cloud infrastructure with the provided deployment documentation.

Note: The template emphasizes a production-ready setup with modern UI/UX, scalable backend, and easy customization of AI behaviors.

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What You Get

• Production-ready SaaS template codebase for personalized AI chatbots using RAG
• Frontend in Next.js; backend using LangChain in Python
• Preconfigured integrations: LangChain, Qdrant, Cohere, UnstructuredIO, Stripe
• Demonstration deployment to quickly create and test your own custom RAG chatbot
• Documentation to deploy on local or cloud environments
• 3 months of support and 1-on-1 coaching sessions with template purchase
• Licensing options: single-project or unlimited-use licenses; no recurring template charges

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Safety and Privacy Considerations

• The template is designed for building chatbots anchored to your data sources; ensure you have appropriate data rights and privacy controls for any uploaded content.

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Core Features

• Production-ready LangSaaS template for RAG-based chatbots
• Frontend built with Next.js; backend in native Python using LangChain
• Ready-made integrations: LangChain, Qdrant, Cohere, UnstructuredIO, Stripe
• Flexible deployment: local machines or major cloud providers (Azure, AWS, Google, etc.)
• Simple upload of documents or URLs to build knowledge bases/anchors
• Multi-document RAG support with chat interface and history
• Built-in user quota/credit management and payment gateway integration
• One-click demonstration deployment to create your own custom RAG chatbot in seconds
• Comprehensive documentation and optional 1-on-1 coaching
• Licensing flexibility: full source code with project-based or unlimited-use licenses; no recurring template charges