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# What does this PR do? - add more braintrust scoring functions for RAG eval - add tests for evaluating against context ## Test Plan ``` pytest -v -s -m braintrust_scoring_together_inference scoring/test_scoring.py ``` <img width="850" alt="image" src="https://github.com/user-attachments/assets/2f8f0693-ea13-422c-a183-f798faf86433" /> **Example Output** - https://gist.github.com/yanxi0830/2acf3b8b3e8132fda2a48b1f0a49711b <img width="827" alt="image" src="https://github.com/user-attachments/assets/9014b957-107c-4c23-bbc0-812cbd0b16da" /> <img width="436" alt="image" src="https://github.com/user-attachments/assets/21e9da17-f426-49b2-9113-855cab7b3d40" /> ## Sources Please link relevant resources if necessary. ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests. |
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| .. | ||
| agents | ||
| datasetio | ||
| eval | ||
| inference | ||
| ios/inference | ||
| memory | ||
| post_training/torchtune | ||
| safety | ||
| scoring | ||
| telemetry | ||
| tool_runtime/brave_search | ||
| __init__.py | ||