A standalone, zero-cost RAG hallucination evaluator.
Project description
Adversarial RAG Evaluator (adv-rag-eval)
A fully local, zero-cost Python library to evaluate RAG pipelines for hallucinations. Powered by a custom fine-tuned Llama-3 model.
Installation
pip install adv-rag-eval
Usage
from adv_rag_eval import evaluate_answer
result = evaluate_answer("Context here...", "Answer here...")
print(result)
Project details
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
adv_rag_eval-0.1.0.tar.gz
(2.6 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 adv_rag_eval-0.1.0.tar.gz.
File metadata
- Download URL: adv_rag_eval-0.1.0.tar.gz
- Upload date:
- Size: 2.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ad7fe12bdf74ff21228267084a8b058903b77a56ef031eb92bfc28507ae12519
|
|
| MD5 |
a6f3d6a41d692c315dcb27c9c30e8196
|
|
| BLAKE2b-256 |
3ae6df829989cb4f822d6e2ad8b4afc1b14b3671c97014697c5de9c8db1e584f
|
File details
Details for the file adv_rag_eval-0.1.0-py3-none-any.whl.
File metadata
- Download URL: adv_rag_eval-0.1.0-py3-none-any.whl
- Upload date:
- Size: 2.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
231d7a90e645c2154f7be9ab75c44db70ca9baf47af530ae19c5b3a9bf6a063b
|
|
| MD5 |
893cc06d4008444cba2c289a1b00c232
|
|
| BLAKE2b-256 |
25be8050bc87f5535a2acc85f85ef54593845e7372c8fdde14e0db8ab264c876
|