exquisite
Ref: Exquisite Corpse
exquisite labels evaluation question sets with the documents that answer
them, so that a retrieval-augmented generation (RAG) system can be scored on
retrieval as well as on its answers. It describes each ingestion of a
corpus in a manifest, generates worksheets in which a person who knows
the corpus records which documents each citation means, and binds a
question set to one ingestion by writing the documents' current URIs into
each question.
Documentation: https://soliplex.github.io/exquisite/
Installation
exquisite needs Python 3.13 or later:
uv tool install exquisite
Until the first release is on PyPI, install from the repository:
uv tool install git+https://github.com/soliplex/exquisite
Development
uv sync --group dev
uv run pytest
uv run ruff check
uv run --group docs zensical serve # preview the docs locally
See Development for more.
License
MIT; see LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for exquisite 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| exquisite-0.1.tar.gz | 31.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| exquisite-0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 66.5 kB
Release files / exquisite-0.1.tar.gz
| Download URL | exquisite-0.1.tar.gz |
|---|---|
| Size | 31.1 kB |
| Tags | Source |
|
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Release files / exquisite-0.1-py3-none-any.whl
| Download URL | exquisite-0.1-py3-none-any.whl |
|---|---|
| Size | 35.4 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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