DHTMLX Chatbot
DHTMLX Chatbot
Dhtmlx Chatbot is a customizable JavaScript widget for creating AI-powered chat apps with various chat patterns, chat history display, and integration with language models like ChatGPT.
- ️ Customizable AI chat apps creation.
- ️ Variety of chat patterns selection.
- ️ Integration with large language models like ChatGPT and Claude 3.
- ️ Four modes for displaying messages.
- ️ Mobile-friendly design.
DHTMLX Chatbot is a frontend UI widget for large language model systems written in JavaScript.It provides a full-featured chat interface, which can be easily connected to OpenAI, Gemini, Claude, and any other LLM.
DHTMLX Chatbot is a perfect fit for customer support chats based on AI.Developed by the expert creators of DHTMLX JavaScript UI libraries, this lightweight and configurable chatbot widget enables the creation of customizable AI chat apps.
With a variety of chat patterns to choose from, the widget allows users to define typing speed and work with markdown.It includes a sidebar for listing chats with different agents and supports integration with large language models like ChatGPT and Claude 3.
The widget offers four modes for displaying messages, typewriter effect, support for markdown, and chat history display.With a free MIT license and responsive mobile-friendly design, dhtmlx Chatbot is a versatile tool for integrating AI chat functionality into websites and applications.Enhance customer support services on your website by integrating dhtmlx Chatbot to provide instant responses to common queries, customizable chat patterns, and seamless user interactions for a smooth user experience.
Create interactive AI chat applications with customizable chat patterns, typewriter effects, and support for markdown using dhtmlx Chatbot for engaging user experiences and efficient communication.
Develop AI-powered virtual assistants for your applications with dhtmlx Chatbot, offering integration with large language models like ChatGPT and Claude 3, and options to define typing speed and chat history display for personalized user interactions.