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36e5506e2acbfc305bc4d2800d5342e444cee001
siemens_ragas/rag_eval
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wangwei 480f6d66ea feat: use weighted metric means and add weighted_score row to summary.md
Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-06-18 16:59:56 +08:00
..
adapters
first commit
2026-06-12 14:02:15 +08:00
advisor
fix(advisor): fix LLM API call, wire advice_markdown to webapp, update .env.example timeouts
2026-06-16 17:12:32 +08:00
config
feat: add metric_weights and doc_weights to Scenario schema and dataclass
2026-06-18 16:50:33 +08:00
dataset_builder
feat(dataset-builder): add retry logic and ASCII-safe logging for Siemens PDF pipeline
2026-06-15 23:06:33 +08:00
datasets
Add RAGAS evaluation web console (FastAPI + vanilla JS)
2026-06-15 15:53:57 +08:00
execution
feat: add weighted_score and sample_weight columns to score rows
2026-06-18 16:53:45 +08:00
metrics
feat: add metric/doc weight computation module (weights.py)
2026-06-18 16:47:47 +08:00
reporting
feat: use weighted metric means and add weighted_score row to summary.md
2026-06-18 16:59:56 +08:00
shared
feat: add metric_weights and doc_weights to Scenario schema and dataclass
2026-06-18 16:50:33 +08:00
__init__.py
first commit
2026-06-12 14:02:15 +08:00
compat.py
first commit
2026-06-12 14:02:15 +08:00
sample_rag_eval_dataset.csv
first commit
2026-06-12 14:02:15 +08:00
settings.py
first commit
2026-06-12 14:02:15 +08:00
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