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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.
If set to -1, the number is set to CPU count.⚠️ Values >1 may increase the risk of rate limit errors or resource contention issues.
Select the RAG evaluation framework that you prefer along with other settings like Embedding model & LLM for evaluation (wherever applicable).
Please review all your configuration selections below.