A lightweight toolkit for evaluating retrieval-augmented generation (RAG) systems: recall@k, precision@k, MRR, answer similarity, and basic hallucination checks.
Project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
benchlite-0.1.0.tar.gz
(5.1 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file benchlite-0.1.0.tar.gz.
File metadata
- Download URL: benchlite-0.1.0.tar.gz
- Upload date:
- Size: 5.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d1be532ae3b405b20fa4ed646799254d34ef01eeaf9c3f28faaf0ff6d908ab24
|
|
| MD5 |
910317f14fc8de49cab7ca0d6f3cbc37
|
|
| BLAKE2b-256 |
eb36fa2af508f39bd7b6e25f1ccbfc881c690373922cc15b37d5d42d4ace380f
|
File details
Details for the file benchlite-0.1.0-py3-none-any.whl.
File metadata
- Download URL: benchlite-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d6b8d36771545d4d9f28feba5eeae0d44b7d6600db54d6d9254b6eb2dc9af98
|
|
| MD5 |
b0971acb83b4d3713efa20a5de78736a
|
|
| BLAKE2b-256 |
c3fad7b2674d0b1c463e4dfc8226e2ffa6d145eb35caad1cb77391c9b14a4f74
|
