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: Template for creating production-ready SaaS AI chatbots with RAG and LangChain.

Name: LangSaaS
Rating: 5 (85 reviews)
Author: toolify

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Introduction:

Template for creating production-ready SaaS AI chatbots with RAG and LangChain.

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Jul 27 2024

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LangSaaS Product Information

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.

LangSaaS's Core 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

LangSaaS's 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

FAQ from LangSaaS

What is LangSaaS?
How does deploying the template work?
What knowledge should I have to use and customize this template?
What is the benefit of using LangSaaS template?
Are there any recurring charges?

LangSaaS Support Email & Customer service contact & Refund contact etc.

Here is the LangSaaS support email for customer service: [email protected] .
LangSaaS Company

LangSaaS Company name: LangSaaS .
LangSaaS Login

LangSaaS Login Link: https://langsaas.com/?utm_source=toolify