LangSaaS
AI chatbot platform with RAG technology
Overview
What is LangSaaS?
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.
What is LangSaaS used for?
Tags

Top 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
How to use LangSaaS?
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.
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Pros & Cons
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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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