rayliuca/T-Ragx
Enhancing Translation with RAG-Powered Large Language Models
Combines QLoRA fine-tuned models with Elasticsearch-backed retrieval to inject domain-specific translation memories and glossaries into LLM context, enabling document-level awareness through preceding text. Supports multiple model backends (Hugging Face, Ollama, OpenAI, llama-cpp-python) and demonstrates 45% WMT23 score improvements over base models by leveraging in-task RAG strategies. Prioritizes local execution for privacy while maintaining recall on terminology and character consistency across translations.
Available on PyPI.
Stars
95
Forks
8
Language
Python
License
MIT
Category
Last pushed
Dec 29, 2025
Commits (30d)
0
Dependencies
5
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