ChatGPT for every website.Instantly answer your visitors' questions with a personalized chatbot trained on your website content. Alternative to Chatbase, SiteGPT, Dante AI
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Updated
Jun 12, 2024 - Python
ChatGPT for every website.Instantly answer your visitors' questions with a personalized chatbot trained on your website content. Alternative to Chatbase, SiteGPT, Dante AI
Sales AI agent that talks with your customers, recommend products, book consultations, and process Stripe payments
The ultimate AI infrastructure platform: One API, every leading model, zero integration friction.
Open-source, self-hosted AI chatbot trained on your website and docs. RAG, embeddable widget, no vendor lock-in.
NPM package "Ethora Chat Component". React.js. Quickly deploy a chat interface embedded into your web portal, as a website pop-up widget or a stand-alone app. Available via npm registry: https://www.npmjs.com/package/@ethora/chat-component
Add a chat widget for your website in minutes. Customize it for your need, and only pay for the usage.
PyTorch Chatbot for deployment in iiitdwd-site
Free WordPress plugin that adds an Ethora AI chat widget to your site. Index pages, enable RAG, and chat with your content in minutes. Based on Ethora Chat Component
🛠️ Explore AI agent architectures with practical design patterns to build robust systems across frameworks.
this is the npm react library for customer support in any website
AI-powered webchat assistant built with n8n that delivers accurate, website-verified responses using Tavily search. Designed for business websites, it ensures secure, domain-restricted answers, smart memory handling, and real-time conversational support.
ai chat for your websites
A chatbot that actually reads your website before it answers. Drops into one <script> tag. MIT licensed, no SaaS.
SiteBot is an AI-powered chatbot that allows you to have natural conversations with any website. Simply enter a URL, and SiteBot will scrape the content, process it, and enable you to ask questions about the website's information. Built with Streamlit, LangChain, and Groq's LLaMa 3.3 model.
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