T-Ragx and rag

T-Ragx
51
Established
rag
47
Emerging
Maintenance 6/25
Adoption 9/25
Maturity 25/25
Community 11/25
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 15/25
Stars: 95
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 445
Forks: 39
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No Package No Dependents

About T-Ragx

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.

translation-memory glossary-management content-localization technical-translation document-translation

About rag

neuml/rag

🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

This tool helps you quickly find factual answers and insights from your own documents and data. You input a question or a set of concepts, and it retrieves the most relevant information from your uploaded files or text, then uses an AI to generate a concise, accurate answer based only on that context. It's ideal for analysts, researchers, or anyone needing to extract specific knowledge from large datasets without hallucination.

knowledge-management information-retrieval research-analysis document-query data-synthesis

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