quivr/backend/packages
Stan Girard 38589d32cf
feat(backend): add RAG evaluation using Ragas (#2429)
# Description

Please include a summary of the changes and the related issue. Please
also include relevant motivation and context.

## Checklist before requesting a review

Please delete options that are not relevant.

- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my code
- [ ] I have commented hard-to-understand areas
- [ ] I have ideally added tests that prove my fix is effective or that
my feature works
- [ ] New and existing unit tests pass locally with my changes
- [ ] Any dependent changes have been merged

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### Summary:
This PR adds a new script for evaluating the RAG model using the Ragas
library, with results saved as a JSON file and printed to the console.

**Key points**:
- New script `run_evaluation.py` added to
`backend/tests/ragas_evaluation/`.
- The script processes documents, generates replies using a QuivrRAG
chain, and evaluates the replies using specified metrics.
- Results are saved as a JSON file and printed to the console.
- The script can be run from the command line with various options.


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Co-authored-by: Damien Mourot <damien.mourot@gmail.com>
Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>
2024-04-15 06:53:48 -07:00
..
emails refactor: packages folder be 2 (#1628) 2023-11-14 14:31:02 +01:00
embeddings feat(chunks): now chunk size is saved in database dynamically and not just 500 (#2164) 2024-02-06 23:23:37 -08:00
files feat(backend): add RAG evaluation using Ragas (#2429) 2024-04-15 06:53:48 -07:00
utils fix: logger level and telemetry function calls (#2409) 2024-04-06 18:35:57 -07:00