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Please provide a brief description of your use-case, input the path to your data (URL, directory or file), and select the methods for building RAG configurations.
Options:
To tailor your RAG configurations, you can unselect any specific options you wish to exclude (e.g., "Chunking Strategy: Character"). For best results, leave all settings unchanged and click "Next."
Ragbuilder uses Bayesian optimization for efficient hyperparameter tuning. Alternatively, you can generate and assess all parameter combinations for exhaustive insights, but this approach is long-running, costly, and computationally intensive.
You can either generate a synthetic test dataset or provide your own test dataset file (CSV format with at least 2 columns: "question" and "ground_truth"). If synthetic test data was previously generated for the specified source data, we will automatically re-use it.
Please review all your configuration selections below.