rayliuca/T-Ragx
Enhancing Translation with RAG-Powered Large Language Models
This project helps professional translators and content localization specialists produce high-quality, nuanced translations by leveraging large language models. You input text, along with any relevant glossaries or translation memories, and receive a more fluent and contextually accurate translated output. It's designed for individuals and teams who need precise translations for specific domains or complex content.
Available on PyPI.
Use this if you need to translate specialized documents, creative works, or technical content where maintaining consistent terminology and understanding context across a document is critical.
Not ideal if you just need quick, general-purpose translations for casual use, as it requires some setup and management of local resources.
Stars
95
Forks
8
Language
Python
License
MIT
Category
Last pushed
Dec 29, 2025
Commits (30d)
0
Dependencies
5
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