AI Directory : AI Chatbot
What is LangSaaS?
LangSaaS is a platform that allows users to create personalized AI chatbots using Retrieval-Augmented Generation (RAG) technology. It provides ready-to-deploy source code templates for document and knowledgebase chat apps.
How to use LangSaaS?
To create a chatbot with LangSaaS, upload your documents or knowledgebases, customize the chatbot using the provided templates, and start interacting with it through the chat interface.
LangSaaS's Core Features
Create AI chatbots using RAG technology
Upload single or multiple documents for chatbot training
Modern chat interface design
Integration with payment gateway
LangSaaS's Use Cases
Deploy a personalized chatbot for customer support
Build an interactive FAQ chatbot for a website
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
FAQ from LangSaaS
What is LangSaaS?
LangSaaS is a platform that allows users to create personalized AI chatbots using Retrieval-Augmented Generation (RAG) technology. It provides ready-to-deploy source code templates for document and knowledgebase chat apps.
How to use LangSaaS?
To create a chatbot with LangSaaS, upload your documents or knowledgebases, customize the chatbot using the provided templates, and start interacting with it through the chat interface.
What is LangSaaS used for?
LangSaaS is used to create personalized AI chatbots using Retrieval-Augmented Generation technology. Users can deploy chat apps based on documents or knowledgebases quickly.
How can I customize the LangSaaS chatbot?
You can customize the chatbot by uploading your own documents as training data and modifying the templates provided. Integration with payment gateway allows for easy monetization.
Is LangSaaS free to use?
LangSaaS offers a one-time purchase option for the template code, with no recurring charges. Users only incur costs for deployment infrastructure like CPU and storage.