Shypd.aiThe largest open index of AI toolsRAGMeUp is an open-source framework for building Retrieval-Augmented Generation (RAG) applications. It allows users to apply Large Language Models (LLMs) to any dataset with a modular and extensible architecture.
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RAGMeUp is a simple and extensible open-source framework designed to accelerate the development of Retrieval-Augmented Generation (RAG) applications. It enables users to leverage the power of Large Language Models (LLMs) on any given dataset, providing a modular architecture where components like chunkers, vectorstores, or retrievers can be customized. The framework supports both CPU-only and hybrid GPU modes, allowing for flexible deployment based on computational needs. RAGMeUp is built for fast prototyping, letting developers focus on RAG logic rather than boilerplate, and has been used in large-scale production settings, demonstrating its battle-tested reliability and flexibility.
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