winstxnhdw/Examplify
An offline CPU-first low-resource chat application to perform RAG on your corpus of data. Powered by OpenChat and CTranslate2.
This application allows you to chat with your own documents and get answers based on their content, even without an internet connection. You input your collection of documents, and it provides an interactive chat interface to ask questions and receive relevant answers directly from your data. It's ideal for anyone who needs to quickly extract information or summarize content from their private datasets securely and offline.
No commits in the last 6 months.
Use this if you need a private, secure, and offline way to query your documents and get instant, context-aware responses.
Not ideal if you need an online-only solution or a tool that connects to public AI models.
Stars
14
Forks
2
Language
Python
License
—
Category
Last pushed
May 14, 2025
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/rag/winstxnhdw/Examplify"
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