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Examples

Drop-in starter configurations. Copy whichever matches your use case to the project root as config.yaml, edit, and run.

Config Use case
configs/minimal-rag.yaml Text-only synthetic records grounded in retrieved literature; no imaging, no LLM keys required
configs/minimal-imaging.yaml Chest-radiograph synthetic records via Hugging Face diffusers; needs HF_TOKEN for gated models
configs/dpo-export.yaml Generate + export dpo_jsonl / rl_jsonl preference data ready for TRL / axolotl trainers

All three pass AppConfig validation as written — CI exercises them.