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.

UniChat serves as a unified interface for interacting with various AI language models and chat services, enabling users to conduct conversations with multiple providers from one desktop application. It integrates online APIs—such as OpenAI GPT-3, GPT-4, Anthropic Claude, and Google PaLM—alongside local models like GPT4All or LLaMA. The client supports features such as conversation history storage, exportable chat logs, customizable prompt templates, file upload for context, and theming options. A plugin system allows developers and the community to add new capabilities, connectors, or UI enhancements. By managing API keys centrally and providing offline mode for local models, UniChat gives users complete control over their AI interactions, privacy, and costs.