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LangSaaS is a template project that allows you to create a production-ready SaaS application for personalized AI chatbots using retrieval augmented generation (RAG). It is preconfigured with integrations to LangChain, Qdrant, Cohere, UnstructuredIO, and Stripe payment gateway. It provides a ready-to-go source code template to configure and deploy document and knowledgebase chat applications, saving valuable time.
## How to Use
You can deploy the LangSaaS template on a local machine or use cloud services like Azure, AWS, or Google. Upload documents or URLs as anchors, create a chatbot, and start chatting. The dashboard allows you to manage usage statistics and upgrade your subscription.
## Key Features
- Retrieval-Augmented Generation (RAG) architecture - Multi-user quota/credit management - Out-of-the-box integration with payment gateway (Stripe) - Modern chat interface and workflow - Frontend developed in Next.js and LangChain used in native python environment
## Use Cases
- Creating custom chatbot applications tailored to specific needs - Building knowledgebase chat applications using multiple documents or URLs as anchors - Developing a SaaS platform for AI-powered chatbots
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