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Efficient Retrieval Augmentation and Generation Framework for building generative models and applications.
fastRAG is a research framework designed for building and exploring efficient retrieval-augmented generative models and applications. It incorporates state-of-the-art large language models (LLMs) and information retrieval techniques, empowering researchers and developers with a comprehensive toolset for advancing retrieval-augmented generation.