AutoRAG and production-rag
AutoRAG provides automated evaluation and optimization of RAG pipelines through hyperparameter tuning, while production-rag appears to be a smaller implementation focusing on multi-strategy retrieval execution, making them **complements** where AutoRAG could optimize a production-rag deployment.
About AutoRAG
Marker-Inc-Korea/AutoRAG
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
This tool helps AI developers and researchers find the best Retrieval-Augmented Generation (RAG) pipeline for their specific data and use case. You provide your documents and an evaluation dataset (questions and their correct answers), and AutoRAG automatically tests various RAG components and configurations. The output is an optimized RAG pipeline that performs best for your application.
About production-rag
KazKozDev/production-rag
Production-quality Retrieval-Augmented Generation with multi-strategy retrieval and comprehensive evaluation framework.
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