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RAGBuilder: Optimize RAG Setup
Learn how RAGBuilder automatically optimizes chunking, embedding models, and other RAG parameters, evaluates configurations on test data, and demonstrates its new SDK.
RAGBuilder is an open-source toolkit that helps you create optimal Production-ready RAG (Retrieval-Augmented-Generation) setup for your data automatically. By performing hyperparameter optimization on various RAG parameters (Eg: chunking strategy, chunk size, embedding models etc.), RAGBuilder evaluates these configurations against a test dataset to identify the best-performing setup for your data.
A toolkit optimizing production-ready RAG setups via hyperparameter tuning for data.