Verdict
A quick read before you dig into the full page.
- Best if
- Template for creating production-ready SaaS AI chatbots with RAG and LangChain
- Pick this when
- Template for creating production-ready SaaS AI chatbots with RAG and LangChain
Overview
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.
Access & connections
Where you can use LangSaaS, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- 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
FAQ 7
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.
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.
What is LangSaaS?
LangSaaS Template project allows you to create a production ready SaaS application for personalized AI chatbots that use retrieval augmented generation (RAG). This template is preconfigured with integrations to LangChain, Qdrant, Cohere, UnstructuredIO and Stripe payment gateway.
How does deploying the template work?
You can deploy template on a local machine or use any of the cloud services e.g. Azure, AWS, Google or others. Documentation to deploy the template will be provided. In addition your template purchase includes 3 month support to help with deployment, including 1-1 coaching sessions.
What knowledge should I have to use and customize this template?
The LangSaaS template uses native python ecosystem around LangChain for backend processing. So if you are familiar with LangChain and have working knowledge of python you can customize backend processing. The frontend is implemented in NextJS and can be modified as needed. In addition, we also offer services to customize template to your needs.
What is the benefit of using LangSaaS template?
This template provides strong foundation to get started with modern AI application using LangChain, taking care of hours of development work. You still may need to make some changes to adapt workflow or fine tune AI elements but heavy lifting is already done.
Are there any recurring charges?
There are no recurring charges to use the template. The only charges your application will incur are cost of deployment infrastructure e.g. cpu, storage, networking etc.
LangSaaS