PyPI page
Author:
Andrés Morales Esquivel
Summary:
BenchmarkQED: Automated benchmarking of retrieval-augmented generation (RAG) systems
Latest version:
0.4.0
Required dependencies:
aiohttp
|
azure-ai-inference
|
azure-identity
|
fastparquet
|
graphrag-common
|
graphrag-input
|
graphrag-llm
|
graphrag-storage
|
json-repair
|
matplotlib
|
nest-asyncio
|
numpy
|
openai
|
pandas
|
pyarrow
|
pydantic
|
python-dotenv
|
pyyaml
|
scikit-learn
|
scikit-posthocs
|
scipy
|
seaborn
|
statsmodels
|
tiktoken
|
typer
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