Kwizie is a cutting-edge AI learning assistant tailored to improve educational outcomes. It provides students and educators with real-time support, personalized study plans, and instant answers to questions. Designed to adapt to different learning styles, Kwizie assists in crafting engaging content while promoting effective learning habits. The platform aims to enhance both self-driven learners and structured educational environments, making knowledge more accessible and enjoyable.

SnowChat combines vector embeddings and conversational AI to let you query documents in real time. Upload PDFs, text, or markdown files; it converts content into searchable embeddings, maintains context in chat, and generates precise answers or summaries using OpenAI’s GPT models. SnowChat also allows you to adjust model settings, view source snippets for transparency, and export conversation logs for later review.

DocChat-Docling is an AI document chatbot framework that transforms static documents into an interactive knowledge base. By ingesting PDFs, text files, and other formats, it indexes content with vector embeddings and enables natural language Q&A. Users can ask follow-up questions, and the agent retains context for accurate dialogue. Built on Python and leading LLM APIs, it offers scalable document processing, customizable pipelines, and easy integration, empowering teams to self-serve information without manual searches or complex queries.