Embed AI

Built as a user-friendly alternative to building raw LLM integrations from scratch, EmbedAI allows teams to upload PDFs, link websites and YouTube videos, import Notion content, and provide plain text to create a chatbot that deeply understands their specific content and can answer visitor questions accurately and contextually.

The resulting chatbot can be deployed as an iframe embed or a floating chat bubble that appears on any web page, transforming static content into interactive, conversational experiences for website visitors.

EmbedAI supports an impressive range of data sources for chatbot training. Users can upload multiple PDF files, provide website URLs for automatic scraping, link YouTube videos for transcript-based training, or add Notion pages and custom text documents.

This multi-source training capability means a business can create a chatbot that simultaneously understands its product documentation, customer FAQ pages, support articles, and video contentgiving website visitors accurate answers regardless of which part of the knowledge base contains the relevant information.

The platform handles all the embedding and indexing automatically, making knowledge base setup accessible to non-technical teams.

Language reach is a critical strength of EmbedAI. The platform supports approximately 200 languages for both training source material and user conversations, making it practical for businesses that serve international audiences.

A company can train EmbedAI on English documentation and have it respond accurately to questions asked in French, Spanish, Japanese, or dozens of other languages.