machinelearningzuu/RAGDynamics
Welcome to RAGDynamics, a repository dedicated to exploring and understanding the dynamics of Retrieval-Augmented Generation (RAG) models in the year 2024. We mainly focus on new data parsers, upgraded tools and techniques
This project is a collaborative platform for AI researchers, developers, and enthusiasts to explore Retrieval-Augmented Generation (RAG) models. It provides curated research papers, code implementations, relevant datasets, and tutorials. It helps those building or studying advanced AI question-answering systems to access resources and share knowledge.
No commits in the last 6 months.
Use this if you are a researcher or developer actively working with, studying, or building applications using Retrieval-Augmented Generation (RAG) models.
Not ideal if you are looking for a ready-to-use application or a high-level explanation of AI concepts for a non-technical audience.
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Apr 09, 2024
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