AutoRAG is an open-source framework for the evaluation and optimization of RAG models, supporting AutoML-style automation.
AutoRAG provides a comprehensive framework that supports developers in evaluating and optimizing Retrieval-Augmented Generation (RAG) models. By integrating AutoML technology, the framework can automate the model tuning process, thereby improving model performance and efficiency. It is suitable for development teams that need to efficiently evaluate and optimize RAG models.
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