T-Ragx and rag
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.
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.
Scores updated daily from GitHub, PyPI, and npm data. How scores work