SnowNation101/Nyx
Code for the paper “Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation”
This project offers a unified mixed-modal retriever for researchers and developers working on Retrieval-Augmented Generation (RAG) systems. It helps create systems that can accurately answer questions using both text and images. You provide a query and a collection of text and images, and it retrieves the most relevant information to generate a comprehensive answer.
Use this if you are a machine learning researcher or engineer developing advanced RAG models that need to process and respond to queries based on both textual and visual information.
Not ideal if you are a non-technical end-user looking for a ready-to-use application or a developer working with only text-based RAG systems.
Stars
15
Forks
—
Language
Python
License
MIT
Category
Last pushed
Dec 06, 2025
Commits (30d)
0
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